Description

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In this role, the successful candidate will be instrumental in supporting the design, implementation, and distribution of business reports and exploratory data analysis (EDA) that integrate sales, finance, human resources (HR), and/or operations data. Additionally, this position will involve understanding critical business challenges, gathering data, conducting analyses, and interpreting findings, while simultaneously developing, streamlining, and updating key performance indicators (KPIs), dashboards, scorecards, and reports.

RESPONSIBILITIES
Areas that play to your strengths

All the responsibilities we’ll trust you with:
Expand all

  • BUSINESS /DATA UNDERSTANDING

    Review and comprehend the required RBDC business requirements.

    Analyze and interpret data related to Sales, Finance, HR, and Operations.

  • DATA PREPARATION

    Perform data cleansing and structuring to ensure high-quality data outputs.

    Prepare, interpret, and distribute reports on a regular schedule, as well as on an ad hoc basis.

    Provide training to end users on how to effectively utilize the reports.

    Continuously seek opportunities to simplify, automate, and enhance the reporting process.

  • MODELLING OF DATA

    Organize data in the most efficient manner for regular and ad hoc reporting outputs.

    Define all data modeling requirements necessary to generate regular and ad hoc reports.

    Test all data requirements thoroughly before finalizing any type of reporting.

  • EVALUATION

    Document the required procedures for all regularly established reporting outputs.

    Analyze data, interpret findings, and create presentations based on data outputs to provide consultation and guidance on insights and recommendations.

    Prepare documentation, presentations, and reviews of analytical outputs.

EXPERIENCE
Your areas of knowledge and expertise

that matter most for this role:

  • 1-3 years of experience in data analysis or similar roles, along with a Bachelor’s Degree in Business, Economics, Information Systems, Computer Science, or equivalent professional experience.
  • Strong proficiency in Microsoft Excel, including intermediate to advanced formula skills, and familiarity with relational databases such as SQL.
  • Basic understanding of statistical measures, techniques, and data visualization principles; experience with tools like Tableau or Power BI is preferred.
  • Capability to translate business inquiries into actionable data analyses and effectively communicate findings to stakeholders at all organizational levels.
  • A strong passion for problem-solving, conducting empirical research, and automating repetitive tasks.
  • Solid understanding of data quality, the mechanics of data processing, and leveraging technology for data extraction and analysis.
  • Demonstrates a quick learning ability, self-motivation, and effectiveness in collaborating with diverse team environments.
  • Preferred experience with R, Python, SAP, Power Query, or Access, as well as familiarity with large datasets or statistical programming tools.
  • PHYSICAL REQUIREMENTS
  • The employee is regularly required to use their hands for tasks such as fingering, handling, or feeling objects; reaching with their hands and arms; and engaging in activities that involve talking or hearing.
  • The employee frequently needs to walk and sit.
  • Occasionally, the employee must stand, stoop, kneel, crouch, or crawl.
  • The role requires the employee to regularly lift and/or move objects weighing up to 25 pounds, as needed.
  • The job also necessitates specific vision abilities, including close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
  • The work environment involves exposure to moving mechanical parts and outdoor weather conditions.
  • Additionally, the noise level in the workplace is typically moderate.
  • Travel 10-20%
  • Permanent
  • Benefits eligible
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