Senior Data Analyst (Analytics) - Intermediate
IND-Trivandrum-Equifax Analytics-PTEC, India
Equifax
Get credit reports and credit scores for businesses and consumers from Equifax today! We also have identity protection tools with daily monitoring and alertsEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
The Senior Data Analyst as part of the Data Analysis Chapter plays a key role in the day to day management of Equifax’s core data assets developed to support our product offerings to the market. Playing a key role in the team's Data Steward responsibilities they will work closely with product, sales, IT, analytics and data acquisition to drive data quality and coverage of each data asset to be market leading.
The Senior Data Analyst will perform in-depth analysis to drive data quality improvements of their allocated data assets in alignment with the product team’s strategic recommendations. They will also act as an SME across the business for their allocated data asset while producing data quality reports for these data assets.
The Senior Data Analyst will also assist in the transformation of Equifax's credit exchanges from on-premises to the Google Cloud Platform. This includes supporting the migration of core data assets across all value streams, from ingestion to keying and linking to journaling and to purposing for downstream consumption. The Senior Data Analyst will also contribute to establishing the operationalization model within the new platform and provide ongoing data stewardship support.
What you’ll do
Data Asset SME
A key Data Steward responsibility is to be the SME for the allocated Data Assets
Gathering detail knowledge of what Data Asset contains, how it can be used and where it is used.
Acting as a day to day Data Asset owner, “If you don’t know the answer, you own the process of finding out who does”
Documenting information and processes
Sharing knowledge both within team and across the business
Ensuring the metadata repository is up-to-date and accurate
Responding to day to day queries while driving strategic Data Asset growth
Strategic DQ Improvements
Carry out proactive R&D analysis of Data Assets identifying areas for strategic Data Quality improvements
Develop and present new opportunities found in the Data Quality space
Critically review the output of analysis, report on data quality issues, and generate insights.
Measuring impacts of improvement and driving implementation
Working with Product teams to drive funding for Data Quality improvements
Act as SME with IT teams as Data Quality improvements are implemented
Conduct data analysis, produce outputs and report on Data Quality improvements
Design and implement new analysis processes through greater standardisation, speed, simplicity or automation.
Develop a high level of skill in the core software packages required to perform data quality analysis
Develop and demonstrate a high level of skill in the core software packages required to perform analysis such as SAS, R, Python, Tableau and SQL
Tactical DQ Reviews
Responding to BAU to queries about data assets inc. - Why did this input match to this file? What does this mean?
Providing support for consumer complaints process by detailing lineage of Data Assets
Investigating data issues identified - What, Why, How fixed, Who will fix it, Who needs to know, Who will it impact
Converting tactical activity into a strategic project if applicable
DQ Reporting
Establishing regular, relevant, publishable data quality reports for all assets
To include - Business facing high level reports & In-depth team only analysis
Sales Consulting/POC’s
Consulting to product teams for non-standard uses of datasets
Co-ordinate with internal stakeholders in order to develop data quality/data usage solutions that meet customer requirements.
Recommend solutions to the organisation to increase revenue, reduce expenses, improve operational efficiency and data quality.
Engage Equifax clients directly to present/discuss Data Quality projects and provide on-going client communication of issues and resolutions.
Demonstrate an understanding of client business objectives, recommending new or improved solutions based on client needs
Data Acquisition Reviews/Testing
Analysing the impact/value of potential new data sources
Defining requirements in consultation with Data Acquisition and Data Exchanges
Perform UAT testing for new dataset implemented to Data Assets
Linking Strategy Support
Implement processes to link Data Assets to all other relevant Data Assets in line with the Linking Strategy
Drive linking improvements to increase coverage/quality
Providing input into linking strategy
Legal & Compliance
Understanding L&C regulations for your data asset
Contributing to Privacy Impact Assessment (PIA) process as Product require new uses for existing or new data assets
Support standardisation of data policies and procedures
Product and Service Knowledge
Look to identify areas of opportunity/improvement within Equifax’s Product and Service offering, it is expected that you will challenge and share your thoughts regarding the opportunities to management
Develop an understanding of the full product and service offering available through Equifax as well as the market dynamics and requirements within the Data Quality space
Market Knowledge and Awareness
Maintain a broad understanding of prime industry sectors: Financial, Communications, Utilities and Retail.
Share relevant knowledge with others to encourage any potential mutual benefits across project teams.
What experience you need
BS degree in a STEM major or equivalent discipline
4+ years of analytical experience in the finance/banking industry or similar.
Excellent interpersonal skills, combined with the ability to relate on all levels through the organisation.
Demonstrates technical competence and business acumen.
What could set you apart
Experience with data visualisation software packages, e.g. Tableau
Experience with Comprehensive Credit Reporting
Understanding of Equifax or similar products
Experience with data visualisation and data story telling.
Statistical skills (advanced statistics or analysis techniques).
Knowledge and in-depth understanding of relational database management systems
Demonstrated experience and competency using SQL and at least one of the following: SAS, R, Python, Java, or similar with cloud-based data platforms (e.g. AWS, Azure, GCP).
High level of attention to detail.
Ability to work independently on complex and demanding projects.
A willingness to learn new applications and systems.
Skills in most MS Office applications
Strong numeracy skills.
Ability to organise tasks and manage time to consistently meet deadlines.
Encourage and actively partake in knowledge sharing and process improvement
Ability to communicate complex analytic findings to non-technical audience
We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Trivandrum-Equifax Analytics-PECFunction:
Function - Data and AnalyticsSchedule:
Full time* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Banking Consulting Data analysis Data quality Finance GCP Google Cloud Java Privacy Python R R&D RDBMS SAS SQL Statistics STEM Tableau Testing
Perks/benefits: Career development Gear
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