A Data Analyst is responsible to look after the processes for accurate data collection, processing, modeling and analysis. An ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for the company

• Work on advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Ensure accuracy of data.
• Optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to stakeholders in BI, leadership, technology, sales, marketing and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Drive successful completion of data insight initiatives and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business.
• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Excellent communication, collaboration and delegation skills.
• Having +3 years of experience in a position monitoring, manipulating and drawing insights from data. The right candidate will also be proficient and experienced with the following tools/programs:
• Strong programming skills with querying languages: SLQ, SAS, etc.
• Experience with big data tools: Teradata, Aster, Hadoop, etc.
• Experience with testing tools such as Adobe Test & Target, Optimizely.
• Experience with data visualization tools: Tableau, Raw, chart.js, etc.
• Experience with Analytics tools i.e Google Analytics, Amplitude, Adobe
• Experience with Excel, Word, and PowerPoint.