Data Analyst
Be a part of a growing team empowering millions to
take control of their finances through inclusivity,
growth and financial independence. Work in a
dynamic environment with a team of innovative
professionals.
FAQs
Contact Us
Data Analyst
3+ years experience
What You’ll Do?
We are looking for a developer to design and deliver strategic data-centric insights leveraging the next generation analytics and BI technologies. We want someone who is
data-centric and insight-centric, less report centric. We are looking for someone wishing to make an impact by enabling innovation and growth; someone with passion for what
they do and a vision for the future.
Be the analytical expert in our company, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
Develop comprehensive skills including project management, business judgment, analytical problem-solving and technical depth.
Become an expert on data and trends, both internal and external to us.
Communicate key “state of the business” metrics and develop dashboards to enable teams to understand business metrics independently.
Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
Automate scheduling and distribution of reports and support auditing and value realization.
Partner with enterprise architects to define and ensure proposed Business Intelligence solutions adhere to an enterprise reference architecture.
Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
Who You Need To Be?
Experience leading development efforts through all phases.
3+ years “hands-on” experience designing Analytics and Business Intelligence solutions.
Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
Hands-on experience in SQL, data management, and scripting (preferably Python).
Strong data visualization design skills, data modeling and inference skills.
Hands-on and experience in managing small teams.
Financial services experience preferred, but not mandatory.
Strong knowledge of architectural principles, tools, frameworks, and best practices.
Excellent communication and presentation skills to communicate and collaborate with all levels of the
organization.