Job Description
Insight Global is looking for a Senior Level Data Analyst to join a high respected utilities organization. Advanced job responsible for collecting, reviewing, validating, and structuring business data for interpretation. Performs statistical, quantitative, and/or predictive analysis to derive insight and support better business decisions. This role also includes the responsibility of serving as the data steward for all data within the discipline. Additionally, this role requires you to teach others the tools, techniques and best practices in self-service reporting and data handling. Helps determine enterprise data needs and data strategy, including the development of data policies and standards.
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 HR@insightglobal.com.To 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 in related field
Minimum of 5 years of experience in a related role such as Data scientist, Data Engineer, both or Data Analyst
Strong Interpersonal skills and the ability to communicate efficiently with stakeholders
Comfortable with travelling to stakeholders Advanced skills with statistical packages (e.g R, SAS, SPSS, Stata, MATLAB, etc).
Expert knowledge of applied research design, including multivariate analysis
Experience articulating product questions, pulling data from relational databases technologies (e.g SAP, PeopleSoft, ORACLE, SQL) and using statistics tools to solve business problems, and to conduct indepth analysis to support decision making.
Demonstrated proficiency in Business Intelligence (BI) tools (e.g Webi, Analysis, Lumira, Tableau, etc)
Excellent interpersonal, analytical and problem solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience
Skilled in the data model and functionality of BW and BOBJ (Business Objects) tools.
Demonstrated self-starter in advancing skillset in data, analytics and technical capabilities
Ability to manage multiple projects at one time and meet tight deadlines
Ability to develop the capabilities of new analysts and a data and analytical team
Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation.
Distinctive problem solving skills and strong business acumen.
Capable of translating analysis resulting into business recommendations.
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