Sr. Data Analyst

Neos Consulting
Austin, TX Other
POSTED ON 2/9/2023 CLOSED ON 2/16/2023

What are the responsibilities and job description for the Sr. Data Analyst position at Neos Consulting?

Job Description

Neos is a leading Austin-based IT Staffing and Consulting firm. Neos was recognized as one of the Best Places to Work in Austin by the Austin Business Journal.

 

 **ONLY CANDIDATES LOCAL TO TEXAS NEED APPLY**

 

 Neos is currently seeking a Sr. Data Analyst for a long term contract position with our client in Austin, Texas.

 

The Advanced Grid Technologies group with Austin Energy is looking for a passionate Data Scientist to join our innovation and technology driven team. This position joins a very skilled workgroup that works closely with Program Managers, Analysts, Project Coordinators, and other technical leads performing analysis, reporting, and strategy building utilizing a wide array of documented use-cases in areas like

advanced metering, work management, and distributed energy resource integration. Amongst a host or varied tasks, the successful candidate will: Deep dive on existing and new system data sources, unearthing problems known and unknown; Develop performance dashboards for existing and emerging programs and grid technology projects; and provide prescriptive analytics on an ad hoc basis in a

fast-paced environment. We are looking for an enthusiastic, flexible, and personable individual with an eye for detail and ability to work independently in a deadline driven environment; a data scientist with a strong desire to be part of a growing and high performing team.

 

 WORKER SKILLS AND QUALIFICATIONS (Required) 

 

  • BS, MS, or PhD in a numerical analysis–related field of study (statistics, computer science, mathematics, computer engineering)
  • Minimum 2 years of professional experience conducting data science projects in a professional or research environment
  • Prior experience leading projects from conception to completion including iteration and QA concepts
  • Proficiency and demonstrated experience in all phases of the data science life cycle working with real-world data—data compilation, data exploration, feature selection and engineering, training and testing of statistical or ML models, and communication of results
  • Proficiency in R or Python, ability to craft complex queries and analysis using SQL
  • Experience building reporting and analytics dashboards in Tableau or related visualization platform.

 

Minimum Requirements:

Years

Experience

4-7

Professional experience as a data analyst, developer, or data scientist. 

4-7

Professional experience creating statistical or machine models to execute forecasting based on

disparate and unfamiliar datasets.   

4-7

Coding and release experience using bash, Python, and/or other common languages.

 

4-7

Building dashboard and reporting suites keeping stakeholders and consumers in mind through

the design and iteration phases.

 

 

 Preferred:

Years

Experience

3

Experience working with, analyzing, and testing deeper analytical hypothesis using utility or energy- related data sets

3

Working within a cloud infrastructure, confidence to be own devOps support alongside other

experts

 

 

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