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Remote Data Analyst Sql Excel Jobs in Iowa (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack. Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack. Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ...

State of Iowa

Data Analyst - Part Time

Des Moines, IA · On-site +1

$29.97 - $46.49/hr

The Data Analyst 1 will be responsible for collecting, validating, and analyzing data related to ... Strong proficiency with reporting tools (such as Excel, Power BI, Tableau, or similar). Ability to ...

DataAnnotation

Physics Data Analyst

Nevada, IA · Remote

$40/hr

We are looking for a Physics Data Analyst to join our team and train AI models. You will measure ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

Varsity Tutors

Data Analysis Tutor

Iowa City, IA · Remote

$40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Data Analysis Tutor

Ames, IA · Remote

$40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

Fundraise Up

Sales Analytics Manager

Estherville, IA · On-site +1

Location: remote in North America (EST and CST) * Stock options About Fundraise Up We're Fundraise ... Strong analytical skills with fluency in SQL, Excel/Google Sheets, and data visualization tools ...

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Remote Data Analyst Sql Excel information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in SQL and Excel, and why are they important?

To thrive as a Remote Data Analyst with a focus on SQL and Excel, you need strong analytical skills, proficiency in data manipulation, and a relevant degree in statistics, mathematics, or a related field. Expertise in SQL for querying databases and advanced Excel functions for data analysis are essential, and certifications like Microsoft Excel Expert or SQL certifications are often valued. Attention to detail, problem-solving, and effective communication are key soft skills that help in interpreting data and presenting insights remotely. These competencies ensure accurate data-driven decisions and smooth collaboration with distributed teams.

How does a Remote Data Analyst using SQL and Excel typically collaborate with team members across different locations?

As a Remote Data Analyst specializing in SQL and Excel, you’ll frequently collaborate with team members through digital communication tools like Slack, Microsoft Teams, and project management platforms. You’ll share dashboards, reports, and data findings virtually, coordinating with stakeholders such as business analysts, managers, and IT staff. Regular video meetings and clear documentation are essential to ensure everyone stays aligned on project goals and timelines. Despite working remotely, proactive communication and timely updates help maintain strong team cohesion and project success.

What are Remote Data Analyst SQL Excel jobs?

Remote Data Analyst SQL Excel jobs involve analyzing and interpreting data using tools like SQL for database querying and Excel for data manipulation and visualization, all while working from a remote location. Professionals in these roles collect, clean, and analyze large datasets to help organizations make informed business decisions. They are expected to write SQL queries to extract data, use Excel for reporting and statistical analysis, and communicate insights to stakeholders. Remote positions offer flexibility, allowing analysts to work from home or anywhere with an internet connection.

What is the difference between Remote Data Analyst Sql Excel vs Remote Data Scientist?

AspectRemote Data Analyst Sql ExcelRemote Data Scientist
Required SkillsSQL, Excel, data visualization, basic analyticsPython/R, machine learning, statistical modeling, SQL
Work EnvironmentBusiness, finance, marketing teamsResearch, product development, AI projects
CertificationsExcel, SQL certifications, data analysis coursesData science, machine learning certifications

Remote Data Analysts with SQL and Excel skills focus on data cleaning, reporting, and visualization for business insights. Remote Data Scientists typically require programming and advanced statistical skills to develop models and algorithms. While both roles work remotely and use SQL, Data Scientists often have a broader technical toolkit and work on more complex projects.

What are popular job titles related to Remote Data Analyst Sql Excel jobs in Iowa? For Remote Data Analyst Sql Excel jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Sql Excel jobs in Iowa look for? The top searched job categories for Remote Data Analyst Sql Excel jobs in Iowa are:
What cities in Iowa are hiring for Remote Data Analyst Sql Excel jobs? Cities in Iowa with the most Remote Data Analyst Sql Excel job openings:
Remote Data Analyst Sql Excel jobs near you
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies

Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
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.
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
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • 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. 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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