Data Analyst

Experience: 4 to 6 Years

Location: Chennai, Bangalore, Hyderabad

Mode: WFO (5 days) in Movate

Shift: 2 PM TO 11 PM

Primary Skill: Data Analysis, SQL, Tableau, Looker, Python and ML

Mode of Interview – Teams Video

L1 interview (Before interview please inform the candidates to install the necessary software as they will be doing coding in Typescript or Javascript- even online compiler will do)

L2 Interview : with Client

JD

Responsibilities

● Work with technical program managers to inject data into decision making and planning to increase

confidence in strategic business outcomes via defining OKRs, designing and building insight generating

reports and dashboards, and partnering cross functionally to source and process product data.

● Leverage SQL programming skills and data visualization tools to communicate product insights and

recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models,

datasets, and dashboards leveraging tools such as Looker, Tableau, Confluence, Acryl, and code.

● Source, identify, and leverage data and insights for time-critical and strategic decision making.

● Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.

● Work closely with product leadership to monitor and improve product performance while collaborating with

business leaders to drive exceptional product offerings. Measure and analyze product value and value

proposition through metrics.

● Collaborate with data producers and consumers during the product development lifecycle to ensure

consistent data quality and availability for reporting post launch.

● Own and foster stakeholder partnerships by acting as a trusted advisor.

Required

● 2+ years of professional experience performing quantitative analysis, building dashboards and reports,

working with business partners to convert ambiguous, messy data into tangible and actionable results that

influence product and business impacting decisions in a fast paced industry.

● Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often

ambiguous environment.

● Excellent verbal and written communication skills.

● Intermediate level experience writing, developing, and performing QA in SQL and SQL-like relational data

languages (2+ years on a regular basis). Experience with unstructured data is a plus.

● Experience with modern data visualization tools. Tableau and Looker (LookML) is preferred.

● Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require

data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing

workflows in production.

● Experience in telephony, email, messaging, social media, or other electronic communications is a plus.

● Experience in fraud / abuse prevention, carrier/regulatory compliance, KYC, user vetting, traffic analysis

and related investigations are a plus.

● Experience or familiarity with data warehousing and/or ETL processes, and distributed computing

technologies (Hive/Presto/Spark/Zeppelin) is a plus.

● Experience in python (e.g. pandas, numpy, scikit-learn) or R for data manipulation and analysis, including

predictive analytics, regression, hypothesis testing, and causal analysis is a plus.