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Hourly Remote Data Analyst Jobs in Missouri (NOW HIRING)

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

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 ...

Jobgether

$66K - $83K/yr

  • PTO

Our partner is looking for a Senior Games Data Analyst based in Netherlands. This is a senior ... Remote-first working environment. * Competitive salary with individual performance-based bonuses ...

New

Parsons

Data Analyst - GEOINT Technical SME

Saint Louis, MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst - Mid, applies their technical and analytical capabilities to support key business ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Jobgether

$66K - $83K/yr

  • Medical

  • PTO

This is a fully remote, collaborative environment where autonomy, initiative, and continuous ... Analyze data from tracking systems and other sources to understand user behavior across the full ...

EquipmentShare

Data Analyst III

Columbia, MO · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're hiring a Data Analyst III to support our Corporate Headquarters in Columbia, MO and we're ... This position is fully remote. Primary Responsibilities * Apply analytics and/or operations ...

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

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Hourly Remote Data Analyst information

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.

What are the most commonly searched types of Remote Data Analyst jobs in Missouri?

The most popular types of Remote Data Analyst jobs in Missouri are:

What are popular job titles related to Hourly Remote Data Analyst jobs in Missouri?

For Hourly Remote Data Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Analyst jobs in Missouri look for?

The top searched job categories for Hourly Remote Data Analyst jobs in Missouri are:

What cities in Missouri are hiring for Hourly Remote Data Analyst jobs?

Cities in Missouri with the most Hourly Remote Data Analyst job openings:

Hourly Remote Data Analyst jobs near you

Data Analyst

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Not eligible for C2C
Candidates must be legally authorized to work in the US without sponsorship.
Must reside in the US
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.
About You:
  • 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.

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