Sr Associate-Data Science

Job Summary

Highlevel Data / Business Understanding

As a Data / BI Analyst you will enjoy tallying up numbers and communicating your findings & insights to a

team leader / program owner. You will see different angles / stages of a product or business opportunity and

you will connect the dots and interact with people in various roles and functions. You will work to effectively

develop business questions into measurable metrics

Responsibilities

and provide meaningful recommendations on changes

/ improvements / next steps.

2. Execution Level Data Handling Skills

As a Data / BI Analyst for Geo Data Insights and Analytics you will work with complex data sets and

pipelines that deliver business insights and drive change. You will work closely with Engineering Operations

and Product teams to track metrics and measure impact. As a data-loving member of the team you will

develop key performance indicators define success factors help establish benchmarks and serve as a

technical data expert for your partners using numbers to help them make better decisions. Using your

technical skills and business acumen youll build reports automated pipelines and dashboards so clients

can quickly and accurately know how projects are performing. You will weave stories with meaningful

insights and intuitive visualizations from data and make critical recommendations for partners from

Engineering and Product Management teams.

6+ years of Analytics experience Demonstrated ability to work independently and collaborate within a large

team of analysts as well as cross-functionally with external engineering and product stakeholders.

Experience in pulling data from datasets (i.e. SQL) applying transformations and data analysis to solve

business problems. Top decile SQL skills are a must (experience in BigQuery is strongly preferred)

Experience in using tools like Tableau/PowerBI for creating dashboards intuitive visualizations and ad-hoc

reports

Bachelors or Masters in a quantitative field (such as Engineering Statistics Math Economics or Computer

Science)

Ability to thrive in ambiguity & adapt to a fast paced environment with strong organizational and coordination

skills

A curious self starter who does not fear failure while exploring new datasets and run tests to understand the

existing data structures & infrastructure without any/much documentation/guidance to rely on

Ability to conduct root cause analysis and develop structured solutions while taking constraints into account

Experience to articulate translate refine and prioritize product / business requirements into structured

technical data requirements and conduct feasibility studies

Experience with composing SQL scripts and to create datamarts / data warehouses along with its data

pipelines.

Experience with creation of dashboards and reports providing insight into business data. Aggregate

organize and visualize data to communicate effectively using presentation skills

Strong verbal and written English communication skills with the ability to interact cross functionally with

product analysts data scientists engineers program managers ops managers and other team members.

Strong problem solving ability and quantitative support along with skills to think outside the box for creative

solutions

Ability to debug optimize existing code and drive improvements to help reduce maintenance efforts on data

infrastructure