BI Analyst

Primary Responsibilities and Duties:

 Design and create complex reports and interactive dashboards including data visualizations using Qlik and/or similar BI products, and other reporting tools to support a broad range of business needs.

 Acquire, validate, clean, and transform data in preparation for exploration and data analytics.

 Recommend data organization techniques and methodologies.

 Perform analysis based on large data sets to recommend and assist various business units in making strategic decisions.

 Analyze and process data, build and maintain data models, and report templates.

 Performs experimental design approaches to validate findings or test hypotheses.

 Be proactive in monitoring customer, stakeholder and partner trends and determine if there are deep dive insight opportunities and to identify “why” we are seeing these trends.

 Build, automate, and maintain complex SQL queries which compile data necessary for analysis of strategy effectiveness.

 Ability to conceptualize business issues, formulates hypotheses, gather results, analyze data, and make appropriate recommendations for change.

 Recommends ongoing improvements to methods and algorithms that lead to findings, including new information, metering data and the speed or sudden variations in data collection.

 As needed/requested, provide ad-hoc research, analysis, and reports to various organizational business units.

 Works in iterative processes to validate findings.

 Presents and depicts the rationale of their findings in easy to understand terms for the business. Presents back results that contradict common belief, if needed.

 Assist team members to solve client analytics problems and documents results and methodologies.

 Participates in a team centric quality assurance process where peers review not only for report accuracy, but also fostering industry best practices and multiple approaches to end deliverables.

 Identify gaps in data, including data anomalies, as well as data trends and communicate to the appropriate business units throughout the organization.

 May educate the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.

 Participate and contribute in proof of concepts.

 Acts as a resource for peers and counterparts with less experience.

Minimum Education and/or Experience Requirements:

 Bachelor's degree in Business or Data Analytics or Computer Science plus a minimum of 3 to 5 years relatable experience; or a minimum of 5 years’ experience, or equivalent combination of education and experience.

 At least 4 years’ experience in architecting and developing in Qlik, Tableau, Power BI, or similar data visualization/ BI tools.

 Desired: Advanced degree in Business or Data Analytics or Information Systems. Certification with BI Tools such as Microsoft Power BI, Tableau, Qlik, etc.

Required Knowledge, Skills and Abilities:

 Strong verbal and written communication skills.

 Ability to prioritize deliverables, meet deadlines, and work independently.

 Ability to manage multiple assignments with defined resources while remaining focused in a dynamic work environment.

 Ability to work independently and within a team environment; collaborate & share knowledge and best practices with other team members.

 Proficient in Microsoft Office Suite: Outlook, Excel, and Word; Ability to create pivot tables, macros, with the use of lookup and logic functions.

 Ability to analyze and solve practical problems, interpret procedures in written, oral, or flow diagrams to make sound decisions.

 Customer centric with attention to detail.

 Fast learner with the flexibility and desire to learn and perform a variety of tasks for multiple programs; open to suggestions and feedback.

 Ability to understand data outputs from multiple systems and their dependencies.

 Qlik domain or equivalent Power BI, Tableau certification/s.

 Knowledge of development and scripting within Qlik inclusive of set analysis, aggregation functions, multi-dimensional objects, layout and design including visualization properties and formats.

 Programming Python, R Programming, MS SQL - intermediate to advanced SQL skills inclusive of nested queries, regular expressions, and an understanding of how relational databases work.

 Ability to conceptualize and write complex SQL statements/queries.

 Experience with machine learning (inclusive of AI), natural language processing, graph/social network analysis, and simulation modeling.

 Solid understanding of Data Modeling concepts (relational and dimensional).

 Travel is required at 10% of the time.

Job Types: Full-time, Contract

Pay: $34.00 - $40.00 per hour

Schedule:

• 8 hour shift

Work Location: One location