Lead Data Analyst

Innovaccer

5 - 6 years

12 - 17 Lacs

noida

Posted:-1 days ago| Platform:

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Skills Required

python analytics marketing data analytics data modeling build tools data warehousing reporting tools sales data analyst sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

We are looking for a Lead Data Analyst for the BI sub-team within the analytics team who can help us build the next generation of dashboards, reports, and other analytics for our customers in the provider/payer market.

A Day in the Life

Work towards creating easy-to-digest analytical reports & Dashboards for US healthcare customers
Play with and transform data. Knowledge of Data Modeling Concepts (Star and Snowflake) will be required
Working with the product, sales and marketing teams, and customer innovation teams to really understand requirements for a new solution and define a plan on how to build the same out
Interact with customers to understand requirements from an analytics perspective, and convert those requirements into dashboards and reports
Working with the designers to build dashboard mock-ups including which KPIs to leverage, what story to tell that will enable users to take actions from the dashboards
Understand Innovaccer data warehousing concepts and implement best practices
Build tools for repeatable data tasks that will accelerate and automate the development cycle, thus bringing higher efficiencies.
Lead multiple projects and guide the junior team members to help them deliver quality products as per the set timelines.

What You Need

5-6 years of experience in data analytics, with experience in
PowerBI, SQL, and Python
Possess a customer-focused attitude through conversations and documentation
Ability to lead a small team and manage the project deliverables for yourself and for the team.
Strong written and spoken communication skills
Hands-on ability to set up reporting tools and build reports and ad hoc functionality
Should be a very data-driven person with loads of curiosity and willingness to ask questions about the data
Ability to think out of the box and find ways to bring efficiency in the existing processes.

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