Data Scientist

Job Description

Responsible for translating business requirements into analytical constructs and using data to propose solutions for effective decision making. Collects, validates, transforms, and cleanses data, as well as performs quantitative analysis to derive insights. Runs analytical experiments in a methodical manner and regularly evaluates alternative models and techniques. Develops predictive models to forecast business performance metrics and provides recommendations for strategic decisions. Responsible for teaching others the tools, techniques and best practices in self-service reporting, data analysis and predictive analytics.

• Performs in-depth analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) to help the company focus on key decisions to improve safety, employee engagement, operational efficiency, product quality, and customer satisfaction

• Develops, modifies, and automates reports, builds and prototypes dashboards to provide insights, and provides analytical solutions

• Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals.

• Develops and maintains analytical models through understanding data, evaluating technologies, optimizing algorithms, experimenting and validating models

• Delivers effective presentations that tell compelling stories about analytical insights

• Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes

• Implements new statistical, mathematical, machine learning or other methodologies for modeling or analysis

• Utilizes business knowledge to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms

• Trains and enables self-service reporting capability and use of Business Intelligence tools for supported business unit(s)

• Conducts research to identify relevant data for developing prototypes and proof-of-concepts

• Collaborates with cross-functional stakeholders to understand business needs, formulate complete end-to end analyses that includes business requirements, data gathering, analysis, scaleable solutions, and presentations

$40/hr

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Bachelor’s degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science OR 3 years of experience working in a data analytical or computer programming function

• 2-3 years of experience working in data science, doing data work

• Strong experience performing advanced data analyses, including cost-benefit analysis, data bricks, forecasting, predictive modeling, what-if analysis, and impact analysis to support business decision-making

• Experienced taking data and setting it up visually. They need to know how to put together visually appealing visualization of the metrics and the data makes sense

• Experience writing SQL and putting into Power BI and power apps

• Hands-on experience working with large and complex (Big Data) datasets - SAP, SQL (DB Visualizer), Maximo

• Hands on experience building Power BI dashboards

• Develops, modifies, and automates reports, builds, and prototypes dashboards to provide insights, and provides analytical solutions • Experience working in Microsoft power pages

• Experience collaborating with cross-functional stakeholders to gather requirements, perform end-to-end analyses, and deliver scalable analytical solutions

• Strong communication skills, with demonstrated ability to present analytical insights through clear, compelling stories and presentations to technical and non-technical audiences