Senior Data Analyst

think
bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think
er's to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At think
bridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking .

• Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
• Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done
• Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

• Leverage your advanced data analysis skills to extract actionable insights from complex datasets, helping stakeholders make informed decision.
• Demonstrate proficiency in data analysis products, with a primary focus on Power BI.
• Develop comprehensive documentation, blogs, and video tutorials that educate both internal teams and external customers on the effective
• use of data analysis tools and methodologies.
• Mentor and train Level 1 (L1) data analysts to enhance their troubleshooting skills and ability to independently solve issues
• Collaborate directly with customers to understand their data analysis requirements, providing prompt and effective solutions to their queries.

• Accountability – Finish what you started.
• Communication – Context-aware, proactive, and clean communication
• Outcome – High throughput.
• Quality – High-quality work and consistency.
• Ownership – Go beyond

Must have technical skills

• Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science)
• Minimum of 4 years of experience in a data analysis role
• Proficiency in data analysis products, with a primary focus on Power BI.
• Strong analytical and problem-solving skills.
• Highly Rated Expertise in Advanced SQL (Analytical / Aggregate Functions).
• Proficiency in Azure services related to Data Analytics. (don’t have to be Dev Ops or blob expert though)
• Excellent written and verbal communication skills
• Ability to work effectively in a team and directly with customers
• Expert level skills in Advanced Excelin havingtheability to understand Lookup/Pivot and translate the same in a BI Tool.
  
  Good to Have

• Demonstrated Experience in using ETL Tools (Azure Data Factory)/Data Warehousing and Data Modeling (Star Schemas / Snowflake Schemas)
• Exposure to additional BI processes like Power Automate,and Power Apps. Etc.,
• Previous Work experience as a Software Developer will be a plus
• Remote First
• No loss of pay for pre-approved leaves.
• Family Insurance
• Quarterly in-person Collaboration Week
  -WWW