Principal Data Analyst
Ankeny, IA · Remote
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 ...
Principal Data Analyst
Ankeny, IA · Remote
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 ...
Remote Snowflake information
See Iowa salary details
$33.64 - $37.83
4% of jobs
$37.83 - $42.02
0% of jobs
$42.02 - $46.20
0% of jobs
$46.20 - $50.39
1% of jobs
$50.39 - $54.58
11% of jobs
$56.17 is the 25th percentile. Wages below this are outliers.
$54.58 - $58.77
22% of jobs
The median wage is $62.06 / hr.
$58.77 - $62.95
15% of jobs
$62.95 - $67.14
11% of jobs
$70.63 is the 75th percentile. Wages above this are outliers.
$67.14 - $71.33
13% of jobs
$71.33 - $75.51
10% of jobs
$75.51 - $79.70
13% of jobs
$33
$63
$79
How much do remote snowflake jobs pay per hour?
As of Jul 6, 2026, the average hourly pay for remote snowflake in Iowa is $63.50, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $72.02 per hour, depending on experience, location, and employer.
Is it hard to get hired at Snowflake?
Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.
Are Snowflake jobs in high demand?
Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.
What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?
To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.
What is a Remote Snowflake job?
A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.
How to make $80,000 a year working from home?
A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.
Does Snowflake offer remote jobs?
Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.
What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?
Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.
What are the most commonly searched types of Snowflake jobs in Iowa? The most popular types of Snowflake jobs in Iowa are:
What are popular job titles related to Remote Snowflake jobs in Iowa? For Remote Snowflake jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Snowflake jobs in Iowa look for? The top searched job categories for Remote Snowflake jobs in Iowa are:
What cities in Iowa are hiring for Remote Snowflake jobs? Cities in Iowa with the most Remote Snowflake job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
Mom's Meals rating
6.2
Based on 39 frontline employees who took The Breakroom Quiz
13th of 22 rated food delivery companies
Job description
The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, crossfunctional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprisegrade 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 highimpact 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 (multisource 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/TSQL); 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, rowlevel security, deployment pipelines
- Versioning & Reproducibility: Gitbased 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 crossfunctional 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 tradeoffs, 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 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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About Mom's Meals
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Ankeny, IA, US
Year founded
1999