Data Intelligence Analyst

Job Summary

The Data Intelligence Analyst brings a data driven approach to solving company problems and providing strategic insight. The role will entail participation and ownership of key projects across the company and include gathering, cleaning, and optimizing data for building dashboards, reports, models, and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Job Responsibilities:

• Performs complex analyses based on large scale and high dimensional operational and financial data to measure the performance of initiatives, evaluate potential operational changes, and provide actionable insights to stakeholders.

• Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex datasets.

• Develop benchmarks, robust reporting, interactive dashboards, and key metrics across business departments to drive strategic planning, optimize profitability, revenue, and sales growth.

• Participate in cross-functional projects where you will examine, interpret and report results of analytical initiatives to stakeholders internally and externally to clients.

• Uses data to build the business case for making a change to current practices, programs, or procedures. Partners with stakeholders on the design, testing, implementation, and evaluation of business process changes to improve business outcomes. May lead or provide support to the implementation and evaluation of complex business process changes.

• Develops, updates, and analyzes metrics to determine operational and financial performance.

• Perform all other duties as assigned.

Required Qualifications:

• Strong skills in Excel, PowerPoint at least one data visualization tool (Qlikview/Qliksense, Power BI, Tableau etc.).

• Proficiency in SQL/Snowflake or any other relational database.

• Demonstrated ability to work independently and employ critical thinking to address business challenges.

• Proven ability to analyze, evaluate and interpret complex data into presentations and visualizations.

• Self-motivated to learn new concepts and participate in new projects, have a can-do attitude and continual improvement mindset to look for and introduce best practices and not afraid to question the status quo.

• Strong attention to detail and good communication skill.

Preferred Qualifications:

• Bachelor’s Degree in related field (Statistics, Predictive Modeling or Data Analytics) and 1-3 years of experience or Master’s degree with 1-2 years of experience.

• Understanding of statistical concepts i.e. regression, decision tree, random forest etc.

• Working knowledge of Python or R.

• Prior industry experience in delivering analytical solutions in predictive manner.

• Experience working with Finance concepts.