Data Analyst

TalentoHC is actively partnered with a supply chain & logistics enterprise organization actively seeking a Data Analyst on contract for 6+ months.

Overview
We are seeking a Data Analyst to join our expanding core technology team. This role plays a key part in supporting and enhancing operational performance by gathering, analyzing, and interpreting data across the organization. The Data Analyst helps drive informed decision-making, boosts efficiency, and ensures smooth day-to-day operations. The ideal candidate will transform raw data into meaningful insights that guide business strategy and operational improvements.

Core Responsibilities

Perform in-depth analysis of data used across various business functions to evaluate workflows, refine existing processes, and support new initiatives.
Utilize SQL, Excel, and statistical methods to explore data, identify trends and anomalies, and generate actionable insights.
Collect, validate, and organize data from multiple sources—including databases, spreadsheets, and operational systems—to ensure accuracy and completeness.
Apply relational database expertise to build and run SQL queries for analytical purposes.
Produce recurring and ad-hoc reports and dashboards to present data-driven findings to key stakeholders.
Partner with operational teams to pinpoint improvement opportunities and recommend solutions grounded in data.
Develop and enhance tools, metrics, dashboards, and visualization approaches that address business questions and support decision-making.
Create compelling visualizations such as charts and graphs to effectively convey insights.
Build and maintain tools that monitor and report on data quality.
Advocate for and uphold data quality standards, including proper use of metadata, data lineage, and business definitions.

Qualifications

2+ years of experience as a Data Analyst.
Hands-on experience working with SQL, Excel, and other data analysis tools.
Understanding of data structures across varied environments (data warehouses/SQL, unstructured environments such as PIG, HIVE, or Impala).
Familiarity with BI tools like Power BI and/or Tableau.
Experience with process management or process improvement methodologies.
Background in quantitative analysis or statistical modeling is a plus.
Ability to maintain professionalism, integrity, and confidentiality.
Proficiency in Microsoft Office or similar tools.
Strong time-management and project-management capabilities.
Creative problem-solving skills and the ability to adapt to new challenges.
Ability to multitask, work independently, and produce high-quality work efficiently.
Capable of managing multiple competing priorities.
Strong team-orientation and collaborative approach.
Demonstrated initiative and proactive mindset.