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Data Analyst
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Gainwell Technologies Chennai, IndiaSummary · As a Jr. Data Analyst · (Advanced Excel) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve a communitys most vulnerable. Connect your passion with purpose, ...
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Data Analyst
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Gainwell Technologies chennai, IndiaSummary · As a Jr. Data Analyst (Advanced Excel) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve a communitys most vulnerable. Connect your passion with purpose, ...
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Data Analyst
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Gainwell Technologies LLC Chennai, IndiaSummaryAs a Jr. Data Analyst · (Advanced Excel) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community's most vulnerable. Connect your passion with purpose, ...
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Data Analyst
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W. R. Grace & Co. Chennai, IndiaJob Description · Data Analyst will be part of the India Digital Operations Center and will be responsible for developing organization wide solutions that enables extraction of Insights from Data. This includes Integration of data from various Data sources across organization fun ...
Data Analyst - Chennai, India - Movate
Description
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.