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Data Wrangler Remote Jobs in Iowa (NOW HIRING)

Mom's Meals

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their ... Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets ...

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Data Wrangler Remote information

What is a data wrangler?

Data Wranglers are professionals who specialize in cleaning, organizing, and transforming raw data into a format that is usable for analysis or further processing. They handle tasks such as identifying inconsistencies, dealing with missing values, and converting data from various sources into a standardized format. In remote roles, Data Wranglers use digital tools and platforms to access, process, and manage data from anywhere, collaborating virtually with teams. Their work is crucial for ensuring that data scientists and analysts have reliable, high-quality data for decision-making and insights.

What are the key skills and qualifications needed to thrive as a data wrangler remote?

To thrive as a Data Wrangler (Remote), you need a strong background in data analysis, data cleaning, and proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with data management tools such as SQL databases, data visualization platforms, and familiarity with cloud-based systems is typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help professionals excel in this role. These skills ensure that data is accurate, well-organized, and easily accessible for decision-making and analysis in distributed work environments.

What are some common challenges faced by remote data wranglers, and how can they be addressed?

Remote Data Wranglers often encounter challenges such as inconsistent data formats, missing information, and coordinating with distributed teams across different time zones. To address these issues, it's important to establish clear communication channels, utilize collaborative data platforms, and follow standardized data cleaning protocols. Regular check-ins with team members and thorough documentation of data processes can also help ensure data integrity and smooth collaboration, even when working remotely.

What is the difference between Data Wrangler Remote vs Data Analyst?

AspectData Wrangler RemoteData Analyst
Required CredentialsBasic data handling skills, often no formal degree requiredBachelor's degree in related field, some roles prefer certifications
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, regular business hours
Industry UsageData preparation, cleaning, and formatting in various industriesData interpretation, reporting, and insights in multiple sectors
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, reporting-focused roles

While both roles involve working with data, Data Wrangler Remote primarily focuses on cleaning and preparing data for analysis, often in a remote setting. Data Analysts interpret data to generate insights and reports. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

How much do data wranglers make?

Data wranglers, also known as data engineers or data specialists, typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in SQL, Python, or cloud platforms can command higher salaries.

What is the job of a Data Wrangler Remote?

A Data Wrangler Remote is responsible for cleaning, organizing, and preparing raw data for analysis, often using tools like SQL, Python, or Excel. The role requires strong attention to detail, data management skills, and the ability to work independently in a remote environment.

What are popular job titles related to Data Wrangler Remote jobs in Iowa?

For Data Wrangler Remote jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Wrangler Remote jobs in Iowa look for?

The top searched job categories for Data Wrangler Remote jobs in Iowa are:

Data Wrangler Remote jobs near you

Sr Data Analyst

Mom's Meals

Ankeny, IA • Remote

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Mom's Meals rating

6.1

Company rating: 6.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 24 rated food delivery companies

Job description

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote the advancement of analytics across our organization. You will independently partner with executive stakeholders on challenging data problems, support BI infrastructure, develop scalable data assets, and conduct exploratory analyses that create new value. 

 Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you. 

 The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities. 

 
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
 
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
 
Salary range: $85,000-90,000 plus 10% bonus
 
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
 
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Support Power BI administration, including workspace governance, access management, deployment practices, and platform standards.
  • Architect and publish trusted Power BI datasets, semantic models, and dashboards using DAX and Power Query, applying development standards that improve usability, adoption, and long-term maintainability.
  • Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices.
  • Stay current with emerging analytics methodologies, technologies, and capabilities.
  • Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
  • Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
  •  Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis.
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses.
  • Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations.
  • Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
  • Define and monitor KPIs tying operational reporting directly to business objectives. 
Required Skills and Experience
  • 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
  • 2+ years administering a Power BI or Microsoft Fabric environment, including workspace governance, permissions, deployment practices, and user support.
  • Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
  • Microsoft Fabric and Power BI: data modeling, DAX, Power Query, semantic models, calculation groups, deployment pipelines, and workspace governance.
  • Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development.
  • Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
  • Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
  • Versioning and Reproducibility: Gitbased workflows; disciplined documentation, and peer review
  • Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models.
  • Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making.
  • Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
  • Product mindset: understand and define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions 
 
 
Preferred Skills and Experience
  • Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
  • Familiarity with data governance tools and compliance standards
  • Product management training or analytics product delivery experience  
Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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