NAVA Software solutions is looking for a Sr. Business Intelligence Engineer - Warehouse Analytics Details: Sr. Business Intelligence Engineer - Warehouse Analytics Location: Remote Duration ...
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Remote Analytics Engineer information
See Houston, TX salary details
$43.5K - $51.3K
4% of jobs
$51.3K - $59.1K
17% of jobs
$64.9K is the 25th percentile. Wages below this are outliers.
$59.1K - $66.9K
5% of jobs
$66.9K - $74.7K
4% of jobs
$74.7K - $82.5K
13% of jobs
The median wage is $87.1K / yr.
$82.5K - $90.3K
12% of jobs
$90.3K - $98.1K
7% of jobs
$105.5K is the 75th percentile. Wages above this are outliers.
$98.1K - $106K
14% of jobs
$106K - $113.8K
3% of jobs
$113.8K - $121.6K
12% of jobs
$121.6K - $129.4K
9% of jobs
$43.5K
$89K
$129.4K
How much do remote analytics engineer jobs pay per year?
What is a remote analytics engineer?
A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.
What are the key skills and qualifications needed to thrive as a remote analytics engineer?
To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.
What are the main challenges faced by remote analytics engineers, and how are they overcome?
Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
What are the most commonly searched types of Analytics Engineer jobs in Houston, TX?
The most popular types of Analytics Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Analytics Engineer jobs in Houston, TX?
For Remote Analytics Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Houston, TX look for?
The top searched job categories for Remote Analytics Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Analytics Engineer jobs?
Cities near Houston, TX with the most Remote Analytics Engineer job openings:

Sr. Business Intelligence Engineer - Warehouse Analytics - Remote
Houston, TX • Remote
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Details:
Sr. Business Intelligence Engineer - Warehouse Analytics
Location: Remote
Duration: Full time /Direct Hire
Responsibilities:
- You'll work in three main modes on our Business Intelligence team:
- Problem-solving and solution design You'll act as part private investigator, part anthropologist as you work to map real-world activity and processes to systems and data
- You'll act as an internal consultant as you work collaboratively with business partners to design the best way to make people's decisions better and their lives easier
- Data modeling You'll use dbt, a SQL-based framework for defining data transformations, to build and extend core data models in our Snowflake data warehouse
- You'll also develop the backend models for Power BI datasets, using DAX and the full range of tooling available to you in the Power BI service
- Visualization and product development You'll make apps and dashboards in Power BI, targeting hundreds to thousands of users globally
- You will have the freedom to explore other solutions as needed, even if they're not part of our core stack
- No matter what mode you're working in at the time, you'll use an engineering-driven approach: you'll automate, you'll test, you'll use version control, you'll optimize performance, you'll measure outcomes. You'll also spend time on learning new data skills: we'll specifically allocate time for you to attend trainings, try new technologies, or work on side projects, so that you can grow with the team.
Must have / Required skills:
Preferred: WMS, footprint or Softeon experience
-
- Must be great with data modeling and Power BI
- Must be ambitious - a lot of dashboards that need to be rebuilt
- Must produce high quality work and can be in front of a client
- Must: Sr. level - 7+ years of professional BI experience
- Must: Strong SQL
- Must: DBT
- Data modeling
- Power BI
- Snowflake
- Experience working with stakeholders and presenting in front of clients
- Project ownership
OUR STACK
- Power BI for rapidly building dashboards
- Snowflake as our primary storage and compute engine
- dbt, a SQL-based framework for defining, testing, and documenting transformations and data models
- Azure Data Lake for archival and staging
- Prefect for orchestration
- Terraform for infrastructure configuration and provisioning
- git for version control
- GitHub Actions and Azure DevOps for CI/CD
- HVR for CDC (change data capture) from relational data stores
- Fivetran, Stitch, and custom integrations for batch-based integrations
EDUCATION AND EXPERIENCE
Required:
- Bachelor's degree or equivalent experience
- 10+ years of relevant professional experience as a Business Analyst, Data Analyst, or Analytics Engineer
- Experience building dashboards or with visualization & designing user experiences
- Experience designing KPIs: you understand and can communicate the impacts of selecting one metric over another
Ideal:
- A highly quantitative background
- Experience with dbt
- Deep knowledge of SQL
- 2+ years of experience with Power BI
- Experience with Python or R
About NAVA Software Solutions
Sourced by ZipRecruiter
NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Rocky Hill, CT, US