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based on 13 Reviews

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Lead Data Analyst

boku

based on 13 Reviews

4-7 years

Mumbai

1 vacancy

Lead Data Analyst

Boku

posted 5mon ago

Flexible timing

Key skills for the job

+ 4 more

Identify trends and opportunities for growth through analysis of complex data sets
Meet our stakeholder s analytical needs by distilling data into actionable insights
Create best-practice analytical assets based on data mining, analysis, and visualization

RESPONSIBILITIES:

Translate analysis requests into succinct analytics briefs that are shaped in such a way that you or another analyst can successfully deliver insights
Take on the analysis of complex data sets to identify trends, patterns, and insights that inform strategic decision-making and improve business growth
Develop advanced data models, dashboards, and reports to track measurements and provide actionable insights
Work closely with stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
Partnering with stakeholders to lead metrics definition, reporting and analyses
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model
Manage the company s business intelligence reporting dashboards
Develop presentations to share insights with partners.

SKILLS AND QUALIFICATIONS:

4+ years experience mining data as a data analyst
Proven analytic skills, including mining, evaluation, analysis, and visualization
Technical writing experience in relevant areas, including queries, reports, and presentations
Excellent SQL and Excel skills with the ability to learn other analytic tools
Well-versed in requirements gathering, analysis, and documentation
Excellent communication skills with the ability to distill complex issues and analyses
Skilled in building and maintaining collaborative relationships with
Experience presenting findings and implications / recommendations to senior business stakeholders, using data to tell a compelling story
Experienced self-starter with a problem-solving focus, an analytical mindset, and extreme attention to detail
Proficient in written and spoken English in a business setting.

PREFERRED QUALIFICATIONS:

Prior experience with data warehousing concepts
Prior experience with data ingestion, transformation, and loading processes (ETL/ELT)
Proven success in a collaborative, team-oriented environment
Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch
Experience in modern advanced analytical tools and programming languages such as Python
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Experience with data visualization software (preferably Tableau)

Employment Type: Full Time, Permanent

Functional Areas: Analytics & Business Intelligence

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