Data Analyst

The Timberline Group
St. Louis, MO, United States
6 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Training Data Data Analysis Analysis of Variance (ANOVA) Microsoft Azure Cloud Computing Cloud Database Information Systems Databases Data Files Data Integrity Extract Transform Load (ETL) Data Mining
+20 more
Data Visualization R (Programming Language) Python (Programming Language) Microsoft Dynamics Performance Tuning Query Optimization Power BI Standard Sql Requirements Management SQL Stored Procedures SQL Databases Data Streaming Data Processing Scripting SAP Integration Solutions Powerquery Build Management Information Technology Epicor ERP Data Analytics

Job description

Ever dream of doing work that makes a difference? Want to join a growing company? Here it is! We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a company that has a masterful, mature history that operates as best-in-class.We are seeking a skilled Data Analyst to design and develop dynamic, actionable dashboards by integrating data from diverse ERP systems. The role involves extracting, transforming, and consolidating data from multiple sources, ensuring accuracy and consistency in reporting. The ideal candidate will excel in creating insightful visualizations that drive business decisions while maintaining a strong focus on data integrity and performance optimization. Collaboration with cross-functional teams to understand and translate business requirements into impactful dashboards is essential. The Data Analyst will work to support our St. Louis region.As a Data Analyst, you will:

  • Extract, transform, and load (ETL) data from multiple SQL tables into Power BI.
  • Design and build interactive dashboards and reports tailored to financial performance metrics and trends.
  • Optimize SQL queries for performance in Power BI data models.
  • Ensure data integrity and consistency during integration.
  • Collaborate with stakeholders to understand reporting requirements including, but not limited to dynamic KPI dashboards and variance analysis reports.
  • Connect Power BI to Epicor and Microsoft Dynamics 365 for seamless data extraction and visualization.
  • Collaborate with IT to ensure proper data flows between systems and Power BI.
  • Troubleshoot and optimize ERP data connections for efficiency and reliability.
  • Build robust data models in Power BI to analyze financial datasets, including budgeting, forecasting, pricing and profitability analysis.
  • Use advanced DAX formulas and Power Query to derive insights from complex ERP datasets.
  • Ensure data integrity by reconciling Power BI outputs with Epicor and Microsoft Dynamics 365 records.
  • Partner with finance teams to understand business requirements and deliver custom reporting solutions.
  • Work with ERP administrators to enhance the usability and functionality of Epicor and Dynamics 365 data for reporting purposes.
  • Automate routine financial reporting by leveraging Power BI and ERP integration capabilities.
  • Identify and implement process improvements to streamline financial operations and reporting cycles.
  • Train finance and operational teams on utilizing Power BI dashboards and ERP-integrated reports.
  • Act as a subject matter expert for Power BI and ERP reporting capabilities within the organization.

Requirements

Not eligible for C2C Candidates must be legally authorized to work in the US without sponsorship. Must reside in the US, * Bachelor’s degree in Finance, Information Systems, Data Analytics, or a related field.

  • 3-5 years of experience in financial analysis or business intelligence.
  • Strong expertise in Power BI, including DAX, Power Query, SQL skills (query optimization, joins, stored procedures) and data modeling.
  • Ability to translate business requirements into actionable dashboards.
  • Advanced knowledge of SQL for data extraction and manipulation.
  • Familiarity with financial processes, including P&L analysis, budgeting, and forecasting.
  • Excellent communication skills to explain complex data insights to non-technical stakeholders.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of Python/R for data manipulation (optional but beneficial).
  • Experience with Power Query or other ETL tools.
  • Familiarity with Azure or cloud-based data services (if applicable).
  • Familiarity with Epicor and/or Dynamics 365.

Skills: Budgeting, Business Intelligence, Business Skills, Cloud Computing, Communication Skills, Cross-Functional, Data Analysis, Data Modeling, Data Quality, Data Sets, Data Visualization, Database Extract Transform and Load (ETL), ERP (Enterprise Resource Planning), Finance, Financial Analysis, Financial Metrics, Financial Operations, Financial Reporting, Financial Systems, Financial Trend Analysis, Forecasting, Identify Issues, Information Technology & Information Systems, Microsoft Dynamics, Microsoft Windows Azure, Performance Metrics, Performance Tuning/Optimization, Power BI, Pricing, Problem Solving Skills, Process Improvement, Profit & Loss Analysis, Python Programming/Scripting Language, Query Optimization, R Programming Language, Reconciliation, Reporting Dashboards, Reporting Skills, Requirements Management, SQL (Structured Query Language), Stored Procedures, Team Player, Training Data Sets, Usability Engineering, Variance Analysis

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all

Related articles

See all