ZipRecruiter

Log In

1

Senior Data Analytics Engineer Jobs in Meridian, ID

Micron Technology

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer, you will employ various techniques to analyze semiconductor manufacturing data, develop predictive models, and collaborate with engineers to improve processes and product ...

Micron

Sr Data Scientist

Boise, ID

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

This role involves interacting with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and to improve ...

Armaninollp

Data & AI Platform Engineer

Boise, ID

$109K - $130K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Comerit

Manager Data Engineering and Analytics

Eagle, ID · On-site

$150K/yr

Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term ...

Simplot

Sr. Data Scientist

Boise, ID

... analytics and AI. Key Responsibilities * Participate as a member of a data science team. May ... Candidates with strong statistical programming and academic/scientific research backgrounds are ...

J.R. Simplot Company

Sr. Data Scientist

Boise, ID

... analytics and AI. Key Responsibilities * Participate as a member of a data science team. May ... Candidates with strong statistical programming and academic/scientific research backgrounds are ...

Simplot Company

Sr. Data Scientist

Boise, ID

... analytics and AI.Key ResponsibilitiesParticipate as a member of a data science team.May provide ... Experience in scripting and / or programming language, especially Python.Good verbal and written ...

Simplot

Sr. Data Scientist

Boise, ID · On-site

... analytics and AI. Key Responsibilities * Participate as a member of a data science team. May ... Candidates with strong statistical programming and academic/scientific research backgrounds are ...

Ericsson Inc.

IT Data Analyst

Boise, ID · On-site

Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions * Facilitate discovery sessions ...

Ericsson

IT Data Analyst

Boise, ID · On-site

Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions * Facilitate discovery sessions ...

Boise Cascade

Strategic Planning Analyst Senior

Boise, ID · On-site

$74K - $92K/yr

Utilize data analytics tools to evaluate and communicate business case analyses to senior ... plywood and engineered wood products in North America. Because our business is built on ...

New

previous pagenext page

Showing results 21-40

All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Meridian, ID

Senior Data Analytics Engineer information

See Meridian, ID salary details

$76.4K

$119.1K

$165K

How much do senior data analytics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data analytics engineer in Meridian, ID is $119,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $135,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What are popular job titles related to Senior Data Analytics Engineer jobs in Meridian, ID?

For Senior Data Analytics Engineer jobs in Meridian, ID, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Meridian, ID look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Meridian, ID are:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Meridian, ID as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,124 per year, or $57.3 per hour.

Sr. Technical Data Analyst

Clearwater Analytics

Boise, ID

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Technical DataAnalystuses business intelligence and reporting expertise to build the dashboards and reports ourclientsand their end users rely on to report investment portfolio information to their ownclients.These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics.Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables.Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:

  • Design, build, and maintaintheBI dashboards and reportsour clients and their end users usefor investor andportfolioreporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client andend-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionablefor clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them intoclient-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.


Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g.,Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.


Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting,finance,computer science, or related discipline.

  • 5+ years of relevant experience inbusiness intelligence,financial/investmentreporting,data analytics,and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration andETL (extract, transform, load)processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Apply