Equifax 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.

What you’ll do

Reporting to the A/NZ DSE Chapter Manager India PEC  within Decision Sciences & Engineering, this role will own and be responsible for the data analyst chapter in India PEC.

As the leader for the Data Analyst India PEC team, you will be directly managing the work of analysts as well as working alongside other chapters and teams within Decision Sciences & Engineering (DSE) and Technology, across India PEC, Australia and New Zealand. You will have a dotted line into the Data Analyst A/NZ Chapter lead to ensure there is consistency in the practices that are used to enable A/NZ outcomes.

The Senior Data Analyst Lead as part of the Data Analyst Chapter plays a key role in leading data analysts on day-to-day management of Equifax’s core data assets developed to support our product offerings to the market.  The prime task of this role is to ensure the data quality of Equifax Exchange is accurate, complete and reliable along data management life cycle.

Playing a key role in the Chapter, Senior Data Analyst Lead will work closely with product, sales, technology, and decision intelligence, to drive data quality and coverage of each data asset to be market leading.

Not only ensuring Equifax core data assets are ingested timely and accurately to the Data Exchange, the Senior Data Analyst Lead will oversee other data analysts in performing 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.

What experience you need

BS degree in a STEM major or equivalent discipline

10+ years of analytical experience in the finance/banking industry or similar.

7+ years of leadership, people management and resource planning experience.

A well-balanced view of resource management, thinking creatively and effectively to deploy the team whilst building skills for the future

Skilled in internal networking, negotiating and proactively developing individuals and teams to be the best they can be

Strong communicator & presenter, bringing everyone on the journey.

Excellent interpersonal skills, combined with the ability to relate on all levels through the organisation.

Demonstrates technical competence in data analysis and business acumen.

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 Big Query

Knowledge and experience working on big data platforms and good understanding of big data analysis

Strong numeracy skills.

High level of attention to detail.

Ability to work independently on complex and demanding projects.

A willingness to learn new applications and systems.

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

What could set you apart

Experience with Agile Methodology and request/issue queue management e.g. Jira

Experience with BI / data visualisation tool e.g. Tableau, Looker

Experience with Comprehensive Credit Reporting

Understanding of Equifax or similar products

Cloud Certification

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-Pune-Equifax Analytics-PEC

Function:

Function - Data and Analytics

Schedule:

Full time