Senior Data Analyst

Aqilea; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Aqilea is seeking a Senior Data Analyst in Bangalore to drive data-driven decision-making across multiple business functions including customer, sales, merchandising, product, supply chain, sustainability and finance. You will identify strategic challenges, conduct in-depth analyses, and turn data into actionable insights to support business objectives.

The role requires hands-on SQL, Power BI, and BigQuery experience, plus excellent communication and collaboration skills to work with senior

Qualifications

• Several years of experience as Data Analyst / Business Analyst or similar.

Responsibilities

• Identify strategic challenges where data-driven decision support is needed.

Skills

Data analysis

SQL

Power BI

BigQuery

Excel

DAX

Power Pivot

Data storytelling

Communication

Collaboration

Tools

Power BI

BigQuery

Tabular Editor

DAX

Power Pivot

Excel

Job description

Job Description:

Role: Senior Data Analyst
Job Ref Id: JD-1339
Competence level: Senior
Start date: 2026-12-01
End date: 2027-05-31
Scope: Not stated
Location: Bangalore
Language: English
Application deadline: 2026-11-13
Number of consultants: 1
Security clearance: No

About the assignment

We are looking for a senior data analyst to join our data & analytics team. If you are passionate about data and eager to tackle some of the most exciting data analytics use cases in the fashion retail industry, join us. In this role you will play a crucial part in driving data-driven decision-making across various business functions including customer, sales, commercial, merchandising, product, supply chain, sustainability and finance. You will be responsible for identifying strategic challenges, conducting in-depth analysis and collaborating with stakeholders to turn data into actionable insights that support business objectives.

Responsibilities

• Key responsibilities:
• Proactively identify strategic challenges where decision support anchored in data is needed.
• Be the driver for data driven decisions making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations.
• Apply advanced analytics methods and tools to model, execute and follow up initiatives from idea to industrialization.
• Be responsible for the full analysis process from problem and scope definition to data extraction, cleaning, analysis, visualization, creating recommendations, and presenting results.
• Turn business challenges into structured data analysis. Define and setup measurable KPIs and OKRs, own and maintain their visualization for value reporting.
• Be the data analytics expert in cross-functional teams and collaborate with business stakeholders to solve business challenges using data analytics.
• Work on a broad variety of business challenges with a wide range of business stakeholders (sales, commercial, merchandizing etc.).
• Participate in the wider analytics community, both internally and across the group.

Requirements

Mandatory

• To be successful in this role we believe that you have:
• Proven several years of experience as either as Data Analyst, Product/Business Analyst or similar
• Proven experience from retail sales, commercial, &/or merchandising business domain is must
• Have strong business sense and business interest with the ability of making sound interpretations of data and other information.
• Have excellent communication skills and are skilled in translating and explaining complex data analysis to non-technical and/or senior stakeholders.
• Have hands‑on working experience writing advanced SQL queries to extract, prep, validate, and analyse large data sets.
• Have expert experience in Analytical tools i.e. powerBI
• Have previous working experience or comfortable working cloud platform data analytics i.e. GCP – big query
• Have skills in Microsoft excel functions such as power pivot, power query. Tabular Editor, DAX etc.
• Are prestige less and enjoy collaborating with others to solve problems.
• Are fluent in English