GlobalLogic

Description

Role: Data Analyst / BI Developer (8+ Years)

Location: Bangalore /Noida

About the Role

We are looking for a Data Analyst/BI Developer with 8+ years of experience to build

scalable analytics solutions and drive insights from large datasets. You will work

across the data stack; from querying big data platforms to building executive

dashboards.

Key Responsibilities

• Data Extraction & Analysis: Write optimized SQL to query large-scale data

on Snowflake, Hive, and Presto/Trino. Handle billions of rows efficiently.

• Python for Data: Use Python (Pandas, NumPy, PySpark) for data wrangling,

automation and ad-hoc analysis. Build reusable scripts for data validation and

transformation.

• BI & Visualization: Design and maintain dashboards in Power BI. Work with

other BI tools like Tableau/Metabase as needed.

• Notebook Collaboration: Use Notebooks for exploratory analysis,

documentation and sharing insights with stakeholders.

• Stakeholder Collaboration: Partner with product, account and engineering

teams to understand requirements, translate them into data models and

deliver actionable insights.

• Performance: Identify query bottlenecks and optimize for cost + runtime on

cloud data warehouses.

Requirements

Good to Have

• Experience with Jenkins, Airflow or similar orchestration tools
• Knowledge of AWS
• Understanding of data governance and data quality frameworks

Qualifications

• B.E/B.Tech/MCA/M.Sc in Computer Science, Statistics or a related field or

similar experience

• Strong communication skills to explain technical findings to non-technical

audiences

Job responsibilities

Must-Have Skills

• Experience: 8+ years in data analytics, BI, or data engineering roles.
• SQL: Advanced SQL – window functions, CTEs, query tuning, approx_distinct,

handling semi-structured data.

• Big Data Querying: Hands-on with Snowflake + at least one of Hive,

Presto/Trino, SparkSQL.

• Python: Strong in Pandas/NumPy for data manipulation, automation and API

integrations.

• BI Tools: Expert in Power BI (DAX, M Query, Power Query, data modeling).

Exposure to Tableau/Metabase is a plus.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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