Data Analyst

Straive; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Straive in Bengaluru invites a proactive Data Analyst (3 to 6 years) to join our analytics team. You will design interactive Tableau dashboards, craft complex SQL queries, and deliver actionable insights for enterprise clients.

Key responsibilities include dashboard design and development, data extraction with SQL, data modeling and performance tuning, translating metrics into business recommendations, and using Python to automate data prep and reporting. Immediate joiners are preferred.

Qualifications

• 3–6 years of professional experience in data analytics/BI.
• Strong Tableau Desktop/Server skills.
• High proficiency in SQL across relational databases.
• Immediate joiners or <=15 days notice.

Responsibilities

• Dashboard design and development of interactive Tableau reports for business stakeholders.
• Write advanced SQL queries, procedures, and CTEs to extract and transform data.
• Model data and tune queries for faster dashboard performance.
• Translate metrics into actionable business recommendations with cross-functional teams.
• Use Python to automate data preparation and report maintenance tasks.
• Provide ongoing support and enhancements to production BI dashboards.

Skills

Data analytics

Communication

Tools

Tableau

SQL

Python

Job description

Data Analyst – Business Intelligence & Analytics

Experience Range – 3 to 6 Years

Notice Period : Immediate Joiners only

Job Overview:

We are looking for a proactive, mid-to-senior Data Analyst (3 to 6 years of experience) with deep expertise in Tableau and SQL to join our fast-growing analytics team. In this role, you will design interactive business dashboards, craft complex data queries, and deliver actionable insights to support strategic decision-making for enterprise clients.

Key Responsibilities:

• Dashboard Design & Development: Design, build, and optimize high-impact, interactive Tableau dashboards and BI reports tailored to business stakeholders.
• Data Extraction & Manipulation: Write advanced SQL queries, stored procedures, window functions, and complex CTEs to extract, aggregate, and transform large-scale datasets across relational databases.
• Data Modeling & Performance Tuning: Ensure data accuracy, establish consistent reporting models, and optimize backend queries for dashboard load times and scalability.
• Business Insights & Communication: Partner with cross-functional business teams to translate raw metrics into strategic, data-driven recommendations.
• Automation & Scripting: Utilize Python scripts to automate routine data preparation, ETL data checks, and report maintenance tasks.
• Maintenance & Support: Provide continuous performance monitoring, bug fixes, and continuous enhancement of production BI dashboards.

Key Requirements

Primary Expertise (Must-Have)

• 3–6 Years of Professional Experience in Data Analytics, Business Intelligence, or Data Engineering roles.
• Tableau Expertise: Strong hands-on proficiency in Tableau Desktop and Tableau Server/Online (LOD expressions, advanced parameters, calculated fields, dynamic dashboard actions, and query optimization).
• SQL Expertise: High proficiency in relational databases (PostgreSQL, MS SQL Server, Snowflake, BigQuery, or MySQL), including complex joins, subqueries, CTEs, and window functions.
• Immediate Availability: Candidates must be immediate joiners or available within a maximum of 15 days.

Preferred Skills

• Basic Python Skills: Practical proficiency in Python for data analysis, automation scripts, and working with libraries such as pandas and numpy.
• ETL & Data Pipelines: Foundational knowledge of ETL/ELT processes and data warehousing principles.