Data Analyst

Technical:

 Collaborate with business teams. Propose analytical solutions and strategies to tackle

business challenges.

 Collect and organize data from primary and secondary data sources and databases using

SQL. Interpret data, structure analyses, and analyze results using statistical techniques,

and programming languages (Python, R) to provide recommendations to different

business functions

 Analyze data using statistical models and analysis to solve business issues

 Develop basic AI/ML models (e.g., Decision trees, Regression) to support a variety of

business outcomes, such as but not limited to underwriting, operations etc.

 Create reports using BI tools (Tableau, PowerBI, Excel) and databases to addresses

specific issues

Other:

• Utilize strong interpersonal skills to build and maintain relationships with internal teammates

and external vendor partners. Communicate with customers and interface with internal/global

team members/functions, as needed, to acquire information and understand key issues

• Flexibility to work outside of regular business hours on weekends or evenings and/or to travel

for work related activities

• Problem-solver: ability to think critically, independently and efficiently under pressure

• Must be an innovative problem solver, work well under pressure, display original thinking and

creativity, and meet challenges with resourcefulness

Requirements

 High proficiency with Python, SQL, Excel, BI tools

 6+ years of working experience

Preferred requirements

 Excellent written and verbal communication skills.

 Bachelor's degree in computer science, systems analysis, or a related study, or equivalent

experience.

 At least 2-3 years’ experience with SQL Server.

 Understanding of relational database design principles.

 Experience creating reports using SQL and or BI tools such as Tableau or Power BI

 Ability to use creative problem-solving with technical skills against a large data model.

 Exposure to a variety of alternate SQL and no SQL platforms.

 Programming and/or scripting experience in bash, python, C-family languages, or PHP.

 Experience with ETL tools such as AirFlow, or <DBT>.

 Ability to apply knowledge of DB platforms to optimize DB query performance.

 Focused and self-driven: able to take on high-level and/or ambiguous assignments, break

them down into doable steps, ask the right questions, set realistic expectations, and drive

for results.

 Focused and self-driven: able to take on high-level and/or ambiguous assignments, break

them down into doable steps, ask the right questions, set realistic expectations, and drive

for results.

 A cooperative team player that leads proactively through reason and respect for the

viewpoints and experiences of others.

 Remains unbiased toward any specific vendor or technology choice; is more interested in

results than personal preferences.

 Able to evangelize theories and principles of best practice yet be aware of their practical

limitations in real-world situations.

 Theories and principles of best practice, yet aware of their practical limitations in real-

world situations.

 Remains unbiased toward any specific vendor or technology choice; is more interested in

results than personal preferences.

 Is motivated by long-term results.

 creative problem solver who can work in a fast-paced, dynamic, cross-functional

environment.