Data Analyst whose primary focus will be performing statistical analysis to create reports and (in the long term) build data models for creating personalized learning environment for students. You will collaborate with our current team of nerds in solving complex problems in a simple way by creating experiments, algorithms, and prototypes.
Job Responsibilities
- Understand what data is available, where, and how to pull it together, extraction and analysis of raw data for curriculum designers
- Doing ad-hoc analysis and presenting results in a clear manner
- Work across the spectrum of reporting and data visualization and apply the right level of solution to the right problem
- Derive insights through A/B tests, funnel analysis and user segmentation
- Assist in analytical ad-hoc projects aiming to spot usage and trends across the platform/app and determine causation
- Assist in building statistical models, train, test and tune them towards the optimal performance
- Creation of dashboards for use by Curriculum and Business teams
- Upgrade capabilities to capture and build data structure and tables
Skills & Experience
- Hands on with writing SQL queries, ETL tools like Fivetran
- Should be able to code in at least one object-oriented programming language. Familiarity with Python is a must
- Should know basics of data crunching and visualization with R/MATLAB/SaaS/pandas
- Ability to communicate the results of your analysis clearly
- Passion for identifying and applying data-driven insights
- Understanding of data mining and machine learning techniques and algorithms is a big plus
- Understanding of google analytics is an added advantage
- Supporting / Working with leadership team in translating operations to trackable metrics, handling end to end project for data pipelines
- Analytical thinker who understands trend, Flexible, High-Ethics
Qualifications and Experience Required
Minimum Qualifications
- B.Tech/MBA from a reputed college
Experience
- 4-5 years of relevant work experience, prior experience with Start-ups will be preferred
Job Description:
Data Analyst / Senior Data Analyst / Data Analyst - Tech Lead
Very Urgent Requirement
If Your Profile Matches The Above Requirement And If You're Interested In The Above Opening Kindle apply.
Urgent opportunity for "Clinical Data Analyst- Mumbai"
Duties/Responsibilities:
- Develop a strong understanding of source databases by analyzing big data assets and providing guidance on how to appropriately transform those assets into the target schema
- Work with data extracted directly from the backend and warehouses of EMR systems as well as pre-and post- adjudicated medical and pharmacy claims data
- Analyze, integrate, and transform data by working closely with research, product, engineering, and data science teams to define data elements, metadata, master/reference data rules, and processes to abstract and integrate data from multiple sources
- Define and implement source to target mappings to standardize data from a variety of healthcare organizations
- Provide input to the engineering team regarding additional tooling that would improve CI processes in areas such as data traceability, quality control, and automation
- Create deliverables such as source to target mappings, data dictionaries/specifications, and data request documents for data partners, customers, and vendors
- Manage processes to improve the mapping and normalization of content within the database
- Continuously improve quality control processes to ensure data integrity within data asset
Required Skills/Abilities:
- Strong understanding of relational databases (e.g. Snowflake, SQL Server), including proficiency in data analysis and loading
- Strong querying and data analysis skills in SQL
- Strong understanding of clinical terminologies (e.g. CPT/HCPCS, ICD-9/10, Medi-Span GPI, LOINC, SNOMED CT, etc.) and their uses in healthcare systems
- Strong critical thinking and analytical mindset with an ability to perform detailed analyses and summarize findings at appropriate levels of detail using charts, summary statistics, and specific examples
- Time management and organizational skills with an ability to juggle multiple tasks and prioritize tasks based on importance and time sensitivity
Responsibilities:
- Act as a Single Point of Contact for all data repositories and develop metrics to analyze pertinent information and share insights through various reports, dashboards on a sustainable basis.
- Deep-dive into data trends to identify root causes and improvement opportunities
- Identify trends, patterns and concerns emerging from data and highlight the same to management, with recommendations in a clear, concise manner to enable smooth and quick decision making
- Data validation and attention to detail is required as this role will be accountable for quality of all the numbers delivered through dashboards or otherwise
- Work effectively as part of a team to achieve individual, team and organizational objectives, sharing knowledge and skills
- Collaborate with marketing team to enable decision support and key customer insights through data analysis, modeling, and exploration
- Use quantitative data gathered from customer database and web analytics tools to develop an understanding of customer behavior
- Apply statistics-based market intelligence to business issues and formulates recommendations and predictions
- Ensure data collection is optimized to provide crystal-clear visibility into the past, present, and future behaviors of our customers
- Using data to flag risks and opportunities and devising a strategy to improve
Required Technical Skills:
- Must be proficient in Google Analytics
- Strong experience in building complex SQL queries.
- Advanced Excel, Create Pivots. Ability to write macros is preferred
- Experience in building complex MIS and dashboards in any BI tool
- Good analytical skills and ability to understand business requirements and related metrics, ability to create definitions, ability to slice and dice data.
Vacancies : 59
Projects In which You have to work :
1) Data Typing in MS Word.
2) Number Entry In Excel.
3) Handwriting Form Filling.
4) Digital Form Filling Job.
5) Outsourcing Job.
6) Captcha Entry Job.
Required Skills and Qualifications:
For More Information Regarding job Apply Now or Contact Our Hr. Recruiter Saba Arif : 9051131238
You will be required to develop reports and analysis, hands on.
Minimum requirements for this role:Proficient in data modeling, merge/purge, query, and reporting in SQL, DBMS (e.g. Oracle, DB2, ACCESS, Snowflake), and other systems.
Apply to jobs on the go
Responsibilities:
- Drive and gather business requirements, assessments, solutions especially in the areas of data analysis, data extraction/delivery, source/target mappings and reporting.
- Create Excel & Tableau dashboards & analyses that provide visibility into KPIs, marketing and product effectiveness, and business trends/drivers
- Work closely with Business Operations, Product, Marketing & Sales, Finance and Engineering teams to solve problems, identify trends, and define key metrics.
- Able to quickly understand the business process and needs, and translate them into business requirements
- Detail oriented and be able to think of all the scenarios for functional and non-functional requirements
Skills:
- 1-3 years of analytical experience in an analytics-based consulting role, exploring large data sets in order to answer strategic questions for customers (either as an internal analyst or external consultant)
- BS/ BA/PG in an analytical field (science, math, engineering, finance, etc.)
- Strong analytical skills and ability to make fast decisions with limited and noisy data
- Strong knowledge of the overall ad tech landscape (RTB and DSP experience preferred)
- High level of proficiency with MS Excel (pivot tables, complex functions; VBA preferred)
- Advanced SQL skill
This will be an exciting and challenging role that will enable you to work with very large data sets, expose you to cutting edge analysis techniques, work with the latest components in cloud architecture and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization.
A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner.
You will:
- Become an expert in location marketing
- Understand the business requirement for analytics and formulate an approach by identifying key datasets, various assumptions, a methodology to be used
- Present the analysis in crisp and clear manner for solving location data anomalies/issues
- Analyse trends to identify discrepancies to point out reasons for the changes in observed patterns
- Provide feedback and share knowledge with the Supply & Data Partnerships and Product team to drive improvement and enhancements
- Define proper measurable metrics/variables for analyzing a business problem and provide actionable recommendations.
Minimum Qualifications:
- BA/BSc/B.E./BTech degree from Tier 1 college in Computer Science, Statistics, Mathematics, Economics or related fields
- 1-3 years of experience in working with data and conducting statistical and/or numerical analysis
- Ability to write SQL code and familiarity with R/Python, Linux shell commands
- Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
- Ability to tell a good story and support it with numbers and visuals
- Strong oral and written communication
A Data Analyst evaluates data and reconstructs it into information that can offer plans to improve a business, therefore influencing business decisions. Once the data has been collected and assessed, the Data Analyst will report back what has been found in a thorough study to the more extensive business/ pertinent associates.
Data analysts are liable for collecting or mining data, cleaning and structuring them to obtain helpful information, trends, patterns and other essential matrices which can be converted into insights. These insights further are used to drive better business decisions and market strategies.
The salary of a data analyst can depend on the skills and experience hold by a candidate. However, on average, a data analyst can earn from INR 8-10 Lakh per year. The salary for entry-level professionals usually begins from 6-8 lakh per year and can increase up to 30 lakh per year with eight or more years of experience.
To become a data analyst, one must start developing the technical skills required for a data analyst. Besides, apart from a bachelor degree( preferably in computer science, IT and statistics), recruiters consider a master degree in business administration or similar courses. Moreover, a certification course in Big data, data science and data analysis is also an added advantage.
A data analyst must be proficient in collecting data, cleaning and processing it with mathematical processes along with extracting insights from the data. Some of the technical skills are; database management through XML, SQL, Hadoop etc, knowledge of analytical tools like SAS, Excel along with coding languages like R, Python etc. Moreover, analytical skills like statistical analysis and mathematical skills are also essential.
Minimum Qualifications:
- BA/BSc/B.E./BTech degree from Tier I, II college in Computer Science, Statistics, Mathematics, Economics or related fields
- 1to 4 years of experience in working with data and conducting statistical and/or numerical analysis
- Strong understanding of how data can be stored and accessed in different structures
- Experience with writing computer programs to solve problems
- Strong understanding of data operations such as sub-setting, sorting, merging, aggregating and CRUD operations
- Ability to write SQL code and familiarity with R/Python, Linux shell commands
- Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
- Ability to tell a good story and support it with numbers and visuals
- Strong oral and written communication
Preferred Qualifications:
- Experience working with large datasets
- Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
- Experience building analytics applications leveraging R, Python, Tableau, Looker or other
- Experience in geo-spatial analysis with POSTGIS, QGIS
Job Description
PIM L2 Data Support specialist
Purpose of the position
The role is necessary for Supporting the PIM/EDMS data within the framework of End to End Service with focus on
Efficiency, Availability, Usability and Adoption to Business Stakeholders. In addition, the Support operator help fulfilling
KPI reporting on global CS&Q objectives.
Responsibilities & duties
Responsibility
PIM/EDMS/CDQT/DAL/BSL Data (Product Information Management)
- Support the PIM Solutions at a Process standpoint on Run Operations - Open & consider assigned new tickets coming
from Support tool (2929IT).
- Analyze opened tickets from Support tool and define the resolution strategy.
- Find and apply a technical solution or re-route to the appropriate team (L2 Data, L3, Platform team )
- Manage and Follow up the ticket (providing regular updates to requestor till the end of the ticket) with Business validation
managing permanent contact with L2 Data, L3 or Platform team)
- Ensure completion of open tickets of PIM within SLA.
- Prepare documentation and support procedures for users and team.
- Implementing workaround cases and updating Confluence pages for the team.
- Get informed with product owner team about all PIM process with new releases.
- Verify permanent up-to-date knowledge related PIM release & deliverables.
- Ensure SLA and SSA for PIM Ticketing with team and Third Party.
- Resource availability round the clock for better customer experience.
- Maintain permanent relation with Country, BUs Offers, and any offer manager- Propose and implement any improvement
in methodology, process and management to increase program efficiency, including Process Automation, provide training
and communication
- Take immediate actions on issues resolution or route to the appropriate team
- Organize any trainings, cluster calls, workshops, yammer and adopt other communication channels to push Data, as a
key topic for the company
- Reproduce the issue reported by user in qualification or pre-production platforms
- To perform Data staging and review test cases provided by the Qualification team.
- Work scope: To support APAC, EMEA, and NAM users.
- Report on the PIM solutions all KPI related Availability & Support RUN operations. - Extract from tracking system all data
to create dashboard report
- Propose improvements and action plan related dashboard result for continuous improvements
- Support ODME/PIM Champions/Assets Community and their Issues
- Support NoE Manager and Community by participating to NoE meeting for Adoption Levels of the PIM System,
presenting new features)
- Analyze and compare the frequency of tickets pre- & post- release of database.
- Co-ordinate action with DCX for any critical action or incident need immediate attention for action improvement for better
customer experience.
- Process- Challenge Platform team or Product owner on necessary Support documents or documents updates
- Get regular training about One Offer Platform framework with PIM Eco-system
- Deployment support / Data migration for new BU / Brands
- Synchro permanently with L2 Solution team
PIM Everywhere project requirement:
- Able to develop and support reporting processes.
- Analyze all tickets coming in 2929 IT portal and prepare MIS report.
- Able to use Tableau, Excel and Access to prepare MIS report for improving PIM adoption and User experience.
- Excellent knowledge of SQL including query optimization.
E xperience & Key skills
Essential
Desirable
- BTech in Electrical Engineering with 3-4 year or Diploma with 7-8 years working preferably in Service or Support domain.
- Development on any programming language and deployment in an enterprise.
Java, XML, HTML, JavaScript, Webservices/API
- MS Office suite tools.
- Experience in Ticketing/Tracking tools (Jira/Remedy etc.)
- Knowledge or Experience in Product Management in Schneider Electric, Product Lifecycle, Offer Marketing
- Database query language (SQL)
- Oracle environment
- Experience in STIBO systems will be a PLUS.
- Exposure in Support & Services activities
- Master the technical analysis in complex situation and applications framework.
- Excellent Communication Skills in writing, spoken and Presentation.
- Ability in reporting, creating and updating dashboard
- Willingness to work in IPO Offer Information which provides Marketing Information of our products on the Web.
- Experience in Quality Testing and Assurance.
Personal qualities & behavioural traits
Essential
Desirable
- Proven Domain (Customer Support) senior operator with good Communication and Presentation skills.
- Solid demonstrated analytical and problem-solving skills.
- Be inspirational to the team, proactive & initiative.
- Self-motivator and a good team player.
- Should be open to work in cross cultural dynamic environment.
- Team player, Collaborator
- English is mandatory for all.
French is key for French location
- French is recommended, but not mandatory
- Capability to work in Extended hours (late during the day: for any critical incident) with exceptional possibility to be on
limited call during Weekend
- Capability to work in Rotational shift, as per team needs.
Location of the Mission
Main location
Desirable
Mission will be in India, Delhi area
Possibility to travel to France, Spain, India or very rarely to other key Schneider Digital locations
Academic & qualifications
Essential
Desirable
- BTech in Electrical Engineering with 3-4 year or Diploma with 7-8 years working preferably in Service or Support domain.
Abbreviations & acronyms
Abbreviation
Definition
DAL
Data Access Layer new middleware dedicated to exports
E2E
End to end Service team organizing Support L2 in RUN Phase
IPO
Information, Process & Organisation, now Schneider Digital, IT organization of Schneider Electric
KPI
Key Performance Indicator
NoE
Network of Excellence
ODME
Offer Data Management Expert. Role in STEP equivalent to Data Administrator
OPS
Offer Presentation System Current PIM system application
PIM
Product Information Management, system allowing to manage Data related Product Offers (OPS & STEP are PIM
systems)
SLA
Service Level Agreement
STEP
Software from Stibo System company supporting the new PIM
Data Analyst is a role where you will be responsible for tracking key metrics through building and maintaining data pipelines and dashboards for visualization. Along with this, you will be expected to have a very good handle on different data streams and address the organization s data requirements. This role will work across functions with other groups in analytics as well as other departments in the company and will be expected to frequently work on data requests from various stakeholders
What you ll do:
What you ll need:
,
DIMENSION & SCOPE
The Enterprise Data Management (EDM) analyst role is responsible for creating and proactively improving the master data in Cienas Oracle ERP system. The Data analyst will perform the validation, entry and cleansing of Data across various tools and systems and master relationship data within the organization.
PRIMARY DUTIES AND RESPONSIBILITIES:
* Key Accountabilities
* Interaction
* Leadership
* Decision Making. Scope and Judgment
* Problem Solving
* Qualifications
* CANDIDATE PROFILE
*LI
About CienaData Analytics Organization is looking for Senior Data Analyst for Enterprise Master Data applications
Researches, designs, develops, configures, integrates, tests and maintains existing and new business applications and/or information systems solutions including databases through integration of technical and business requirements. Applications and infrastructure solutions include both 3rd party software and internally developed applications and infrastructure. Responsibilities include, but are not limited to, analysis of business requirements, coding of modifications or new program, creation of documentation, testing and maintenance of applications, infrastructure, and information systems including database management systems. Works within the Information Technology function, obtaining resources and working in support of objectives and strategies. Provides required documentation and participates in architecture reviews to ensure that the solutions comply with standards and use approved technologies. Typical customers are company end users and various functional areas such as Supply Chain, Research and Development, Marketing, Finance, a business, or the company.
Responsibilities:
Participates as a senior member of data development team or cross functional teams; and may lead a project/ program development team; Performs analysis of functional and business requirements.
Completes data analysis, ETL, batch and real-time integration codes to implement solutions.
Develops data integration and exploratory data analysis codes independently; participates and leads code reviews.
Works with business and system teams to design, prepare and automate test cases.
Applies in-depth or broad technical knowledge to maintain data engineering function. Performs solution design. Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.
Document mappings between in scope interfaces and systems
Supports the product team with the stakeholder workshops, testing, training and answering questions and troubleshooting issues
Assist in identifying data issues impacting the customer or the business process
Education and Experience Required:
Typically a technical Bachelors degree or equivalent experience and a minimum of 6 years related experience or a Masters degree and a minimum of 5 years of experience.
Knowledge and Skills:
A Data Analyst with 4 experience, end to end solution, Ability to recommend/ design solution, SQL, basic-medium ETL, knowledge of python
Advance SQL,: data model, Stored procedure, performance tuning, hands-on windowing functions, rank, aggregates
3 or more years of experience in data integration in batch and real-time environments
3 or more years of experience writing SQL and ETL code(such as Informatica/ IBM; and databases like SqlServer/ Oracle; and data quality tools.
Knowledge of open source software development tools such as Kafka and Python.
Experience of multiple full release cycles. Understanding of modern software development methodologies.
Understanding of Software Test methodologies, and testing tools.
Strong analytical skills and ability to draw conclusions based on data
Comfortable working in a fast-paced, dynamic environment while juggling multiple projects
Self-motivated, detail-oriented and passionate
General Project Management experience desired
Customer/ Vendor Management experience desired
Good verbal and written communication skills; ability to work effectively in a team of data and analytics technologists and business users
Preferred Qualifications:-
Experience working on Java based Data Management products
Experience working on Master Data Management (MDM) domains
Data Analytics Organization is looking for Senior Data Analyst for Enterprise Master Data applications
Researches, designs, develops, configures, integrates, tests and maintains existing and new business applications and/or information systems solutions including databases through integration of technical and business requirements. Applications and infrastructure solutions include both 3rd party software and internally developed applications and infrastructure. Responsibilities include, but are not limited to, analysis of business requirements, coding of modifications or new program, creation of documentation, testing and maintenance of applications, infrastructure, and information systems including database management systems. Works within the Information Technology function, obtaining resources and working in support of objectives and strategies. Provides required documentation and participates in architecture reviews to ensure that the solutions comply with standards and use approved technologies. Typical customers are company end users and various functional areas such as Supply Chain, Research and Development, Marketing, Finance, a business, or the company.
Responsibilities:
Participates as a senior member of data development team or cross functional teams; and may lead a project/ program development team; Performs analysis of functional and business requirements.
Completes data analysis, ETL, batch and real-time integration codes to implement solutions.
Develops data integration and exploratory data analysis codes independently; participates and leads code reviews.
Works with business and system teams to design, prepare and automate test cases.
Applies in-depth or broad technical knowledge to maintain data engineering function. Performs solution design. Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.
Document mappings between in scope interfaces and systems
Supports the product team with the stakeholder workshops, testing, training and answering questions and troubleshooting issues
Assist in identifying data issues impacting the customer or the business process
Education and Experience Required:
Typically a technical Bachelor's degree or equivalent experience and a minimum of 6 years related experience or a Master's degree and a minimum of 5 years of experience.
Knowledge and Skills:
A Data Analyst with 4+ experience, end to end solution, Ability to recommend/ design solution, SQL, basic-medium ETL, knowledge of python
Advance SQL,: data model, Stored procedure, performance tuning, hands-on windowing functions, rank, aggregates
3 or more years of experience in data integration in batch and real-time environments
3 or more years of experience writing SQL and ETL code(such as Informatica/ IBM; and databases like SqlServer/ Oracle; and data quality tools.
Knowledge of open source software development tools such as Kafka and Python.
Experience of multiple full release cycles. Understanding of modern software development methodologies.
Understanding of Software Test methodologies, and testing tools.
Strong analytical skills and ability to draw conclusions based on data
Comfortable working in a fast-paced, dynamic environment while juggling multiple projects
Self-motivated, detail-oriented and passionate
General Project Management experience desired
Customer/ Vendor Management experience desired
Good verbal and written communication skills; ability to work effectively in a team of data and analytics technologists and business users
Preferred Qualifications:-
Experience working on Java based Data Management products
Experience working on Master Data Management (MDM) domains
We offer:
A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
,Bachelors Degree , Analyst , Experience with Alteryx Designer , Experience with tableau
Good to have SQL
DADJ Global - Data Analyst - Investment Banking/Financial Services Data (10-20 yrs)
Responsibilities :
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
Skills :
- Proven working experience as a Data Analyst (7-12 years)
- Worked across both Qualitative and Quantitative Analysis Area
- Good Exposure 3-4 Years to equity analysis and research fields,swot and pestle and environment scan
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it.
Transformation happens here. Come, be a part of our exciting journey
Are you the one we are looking for
Inviting applications for the role of Process Associate Data Analyst
In this role associate will work with a team to provide analytical support on deductions recovery. Such analytical support may include data management, data interpretation, reporting, structuring an analysis, interpreting the results in a business context and providing insights to team to drive deduction recovery.
The analyst should be able to identify pattern emerging from data and reports and establish the linkage for the same with business problems.
Responsibilities
Prepares and analyses data. This can include locating, profiling, cleansing, extracting, mapping, importing, validating or modelling.
Applies query, data exploration and transformation, basic statistical methods and visualization techniques to build business insights or improve data quality.
Performs validation and testing to confirm the accuracy of the information built.
Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives.
Communicates valuable information so that it is easy to understand and influences other to act based on the useful information provided.
Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
Work with Data engineers to supervise and help institutionalize models and dashboards for Analytics
Slice and dice through the database and come up with actionable analytical insights
Support other task as assigned (dashboard, reporting, governance of data using audits to identify gaps and opportunities)
Qualification we seek in you
Minimum Qualifications
Graduate or equivalent
Proven experience in OTC domain
Analytical aptitude - problem solving, quantitative
Knowledge on retail and FMCG/CPG industry, exposure to CPG/Consumer data
Analytical skills, problem solving ability and attention to detail
Should have ability to handle large data sets in arriving at meaningful findings.
Proficiency with Microsoft Office Suite
Work in a dynamic and fast-paced environment without compromising the quality
Preferred Qualifications
Facility with one or more data analytical methods such as regression, decision trees, experimental designs, support vector machines, machine learning and text mining
Excellent communication/ interpersonal skills
Exposure to ERP systems (Oracle / SAP / Ariba)
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.
Hi,
Role - Data analyst
Expe- 2 to 5 Years
Location - Bangalore
Job description
Working on month on month adjustments and clearing all pending invoices
Validating WBSe codes, and ensure 100% invoice submission during month end billing
Optimize resource allocation by using statistical models to forecast future demand
Managing all Client records in JIRA
Doing Onboarding and Off boarding of resources
Sending welcome mailer to resources who join the project
Tracking efforts and preparing invoice against them
Sending Weekly and Monthly invoices to the client
Working on JIRA Tickets
Working on Share point and providing the access
Raising the request for access/removing the access for SAP for production and Non-production system
Raising the request access for Service Now
Working on Client Data Protection (CDP) Tool
Working on (CMR)Compliance Monitoring Record Training Management Tool
Tracking the offshore and onshore resource for the completion of training .and updating the tracker
Raising the request Access for Accenture Delivery Methodology System (ADMS)
ID generation and ID revocation for the resource to log-in for client system and website
Working on enabling the WBSE for the resource
If any one interested kindly fill the below details and refer any,
Name :
CTC:
Expected CTC :
Current location:
Total Experience :
Relevant Experience :
Notice period :
Qualification :
Reason for job change :
How much your suitable for this position , Out of 10 :
Updated CV
Regards
Madhushree
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