BI Analyst at Bestol

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Tableau, Power BI, Looker, Data Modeling, Data Quality Profiling, Data Governance, Data Storytelling, Data Visualization, Stakeholder Communication, Streamlit, DBT, CI/CD, DevOps, Data Lineage Mapping

Industry

IT Services and IT Consulting

Description

Company Description Engineering the AI-powered enterprise. With AI and cloud-native solutions, BETSOL accelerates cloud transformation for enterprises across 17+ countries. BETSOL holds several engineering patents, and is recognized with industry awards. BETSOL maintains a net promoter score that is 2x the industry average. BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and delivers best-in-class performance. BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for customers. BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore & Belagavi, India. We take pride in being an employee-centric organization, offering comprehensive benefits and opportunities. Learn more at betsol.com Job Description About the Role The Business Intelligence (BI) Analyst will help turn data into actionable insights that drive better decisions across the organization. In this role, you'll partner with stakeholders to answer key business questions, build scalable reporting solutions, and ensure the quality, consistency, and trustworthiness of our data. You'll play a critical role in shaping how data is used — moving beyond static reporting to delivering insights that influence outcomes. This is an ideal role for someone who enjoys working across the full data lifecycle — from data quality and governance to analysis and storytelling. Responsibilities • Partner with stakeholders to understand business goals, KPIs, and key questions; translate findings into clear, actionable insights and recommendations • Design, build, and maintain dashboards and reports using BI tools (Tableau, Streamlit) • Profile datasets to identify and resolve data quality issues (duplicates, missing values, inconsistencies) • Maintain data dictionaries, metadata, and documentation across systems; support data lineage mapping and governance policies • Work with data engineers and analysts to refine data models and definitions; write and optimize SQL queries to extract and transform data Looking For • 3–5+ years of experience in a BI Analyst, Data Analyst, or similar role • Strong experience with SQL and working with structured datasets • Hands-on experience with Snowflake or similar cloud data warehouse platforms • Experience building dashboards in Tableau, Power BI, or Looker • Strong data storytelling, visualization, and stakeholder communication skills • Collaborative mindset with the ability to work across business and technical teams Mandatory Skills A. Technical Skills • Snowflake (data warehouse querying, data modelling) • SQL — advanced querying and data transformation • Tableau / Power BI / Looker — dashboard and report development • Data quality profiling and governance practices • Experience with data documentation and lineage mapping B. Soft Skills • Good communication and articulation skills • Ability to work with global stakeholders • Strong problem-solving acumen Good to Have Skills • Exposure to DBT for data transformation • Familiarity with CI/CD pipelines and DevOps tooling • Experience with Streamlit for data applications • Prior experience in a GCC, product company, or BFSI environment • Relevant BI or data certifications (e.g., Tableau Desktop Specialist, Snowflake SnowPro Core)

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Responsibilities

The BI Analyst will partner with stakeholders to translate business goals into actionable insights and scalable reporting solutions. Responsibilities include designing dashboards, profiling datasets for quality, and optimizing SQL queries for data transformation.