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Sr Data Analyst
TriOptus LLCUnited StatesSr. Data AnalystLocation: Remote Duration: 24 months (possible extension) We run a world-class Engineering organization and as a part of the Engineering Program Office that manages large capital progr
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Location: Remote Duration: 24 months (possible extension) We run a world-class Engineering organization and as a part of the Engineering Program Office that manages large capital programs using state of the art analytics seek to improve the capital planning and management processes, enhancing systems, realigning the organization, and adding opportunities for personal skill-building and professional growth. We have an opening for a talented and experienced data analysts with spatial knowledge and strong story-telling abilities. The successful candidate will act as an internal consultant working closely with Strategy and Network Planning groups who will need to have strong analytical skills as well as presentation capabilities that builds the story from data, maps, and modeling that leads to an action. Candidate must be proficient in SQL and be experienced in GIS and python. Even better if the candidate has demonstrated strength with data visualization through Tableau. The candidate must be willing to work in an interdisciplinary field, together with computer scientists, business spocs, and telecom network engineers, and will require excellent interpersonal and communication skills Create and walk through executive presentations that explain the complex data and algorithms used in simple easy-to-understand visually striking layman terms that leave a residual impact on an executive audience Interpreting executive asks, understanding multiple data sources, models, and software tools with business line specific decision support and data analysis Communicate with and influence stakeholders at all levels of the business Assess the impact of strategic financial decisions across Business Units and present to leadership Developing new approaches and scenarios to analyze and evaluate business strategies across various business geographies, technologies, drivers and scales Create insights leveraging large varied datasets of economic, demographic and telecom related information Assess feasibility of new markets for capital investment and reassess changes to existing investments Work will involve challenging existing constructs and business paradigms and creatively solving problems that result in a business transformation of a process or a program or a current approach Challenge existing thought processes and actively work in cross disciplinary groups and make a case using rich data and presentation Work ahead of the curve expecting changes by designing, developing and implementing methods and strategies to continually improve processes and capital decision making for major strategic initiatives You’ll need to have: Bachelor's degree in Business Administration, Accounting, Finance or Economics any other related discipline or four or more years of work experience Eight or more years of relevant work experience Experience with large-scale parallel computing in distributed environments and familiarity with GIS and spatial databases (e.g., Postgres / PostGIS, Oracle/ESRI) is preferred Demonstrated use of Python in automation of analytics tasks Demonstrated use of / development of spatially enabled Web Front Ends (ArcGIS JavaScript API, React, ) Demonstrated experience managing data in SQL and/or NoSQL databases (Postgres, Oracle, Teradata, Hadoop, Casandra, MongoDB) Good interpersonal and communication skills. Ability to convey complex information to upper level execs Ability to adapt to quickly changing business environments and requests that come in related to upper level executive requests Experienced in Telecom, Cable or other network related field (Electric, Wastewater, Gas/Oil, Urban planning) Experience with Microsoft Office Suite especially Microsoft Excel and Powerpoint and/or Google Sheets and Slides Even better if you have: A Master's in Management Information Systems, Computer Science, GIS Preference will be given to candidates with programming experience in one or more programming languages (e.g.
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