Data Analyst - Dalton

apartmentSTE Hackney, Inc. placeDalton calendar_month 
STE Hackney, Inc., is a $185 million manufacturer of specialized aluminum truck bodies, trailers, truck bodies and trailers. Headquartered in Washington NC, the company operates four manufacturing facilities of brands, Hackney and Kidron, in the continental United States and is owned by ST Engineering - Singapore.
Proudly made in the USA since 1946, Hackney has specialized in vocational truck bodies and trailers built for customers representing the World’s most recognizable brands. The Hackney line-up features aluminum side load bodies, service bodies, mobile maintenance bodies, vending bodies, and shelving units.

We are committed to operating in an environmentally responsible manner by reducing our environmental footprint.

Position Summary: The Data Analyst – Will develop and maintain enhanced data analytics to support the Operations and Sales department initiatives and programs.
Reporting to the Vice President of Operations, this position will apply working knowledge of contemporary software tools, transactional process improvements and superior analytical skills in creating improved visibility in business trends and performance drivers, for enhanced decision making.
Objectives of this role
  • Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
  • Identify trends and opportunities for growth through analysis of complex datasets
  • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
  • Work directly with managers and users to gather requirements, provide status updates, and build relationships
Responsibilities
  • Work closely with the Sales department and our customers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
  • Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
  • Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
  • Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
  • Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
Required skills and qualifications
  • Three or more years of experience mining data as a data analyst
  • Proven analytics skills, including mining, evaluation, and visualization
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong SQL or Excel skills, with aptitude for learning other analytics tools
Preferred skills and qualifications
  • Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
  • Experience with database and model design and segmentation techniques
  • Strong programming experience with frameworks, including XML, Java Script, and ETL
  • Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
  • Proven success in a collaborative, team-oriented environment
Job Type: Full-time
Pay: $58,000.00 - $65,000.00 per year

Benefits:

  • 401(k) matching
  • AD&D insurance
  • Dental insurance
  • Dependent health insurance coverage
  • Disability insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid holidays
  • Paid sick time
  • Paid time off
  • Prescription drug insurance
  • Tuition reimbursement
  • Vision insurance

Schedule:

  • 8 hour shift
  • Day shift
  • Monday to Friday

Work Location: In person

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