Talantix.io
CoreTrust•04.03.26
AI SCORE 8.7

Senior Data Analytics Engineer - Remote

$120K–$150K/year
RemoteData Analytics
SQL•Python•R•Data Visualization•Power BI•Azure•Snowflake•ETL•Data Modeling

About the Role

We are seeking a Senior Data Analytics Engineer - Remote to join our dynamic team. In this role, you will leverage your expertise in data analytics to drive impactful insights and support strategic decision-making. As a Senior Data Analytics Engineer, you will work with advanced data modeling, visualization, and transformation tools, ensuring that our data architecture is robust and scalable.

What You'll Do

  • Design and implement data pipelines for efficient data processing and analytics.
  • Utilize SQL, Python, and R to analyze complex datasets and derive actionable insights.
  • Collaborate with cross-functional teams to understand data needs and deliver tailored analytics solutions.
  • Develop and maintain dashboards and reports using tools like Power BI and Azure Synapse.
  • Ensure data quality and integrity throughout the data lifecycle.

Requirements

  • 5+ years of experience as a Data Analytics Engineer or similar role.
  • Strong proficiency in SQL, Python, and R for data analysis.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Familiarity with cloud platforms like Azure and data warehousing solutions like Snowflake.
  • Excellent problem-solving skills and attention to detail.

Nice to Have

  • Experience with ETL/ELT processes and data transformation tools like DBT and Alteryx.
  • Knowledge of AI and machine learning concepts.
  • Experience in a B2B marketing or public sector environment.

What We Offer

  • Competitive compensation package with a salary range of $120,000 to $150,000.
  • Free individual employee medical coverage and subsidized dental and vision coverage.
  • 401(k) plan with a dollar-for-dollar match up to 6% of your salary.
  • Company-paid short-term and long-term disability coverage.
  • Employee Assistance Program to support wellbeing and mental health.
  • $1500 annual stipend for undergraduate/graduate college courses.
  • Flexible/hybrid work culture with a focus on work-life balance.
  • Access to a brand new, state-of-the-art, tech-enabled work environment in downtown Nashville.
Why This Job8.7 of 10

This Senior Data Analytics Engineer position offers a competitive salary and a flexible work culture, making it an attractive opportunity for experienced professionals in the field.

Salary Range
Required
0/1
Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in SQL and Python with a proven track record of developing complex ETL processes and data pipelines, ensuring data integrity and performance optimization.

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Strong experience in utilizing Power BI for data visualization, capable of creating interactive dashboards that effectively communicate insights to stakeholders in a fully remote environment.

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Deep understanding of Azure and Snowflake for data warehousing solutions, demonstrating a mindset focused on scalability and performance enhancement in data architecture.

Learning Resources

→Learn SQL Basics for Data Sciencecourse
→Python for Data Analysiscourse
→Power BI Documentationarticle

Career Path

Senior Data Analytics Engineer - Remote(Now)→Lead Data Analytics Engineer(1-2 years)→Data Analytics Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption in Data Analytics
60%
Investment in Data Solutions
+150%
Labour Demand for Data Engineers
+25%
Avg Salary for Senior Data Analytics Engineer
$130K

Skills & Requirements

Required
SQLPythonR
Growing in Demand
Machine LearningCloud Data WarehousingData Governance
Declining
Excel for Data AnalysisOn-Premise Database Management

Domain Trends

Rise of Cloud-Based Data Solutions
As organizations migrate to the cloud, the market for cloud data solutions is expected to grow by 20% annually, with Azure and Snowflake leading the charge.
Increased Demand for Real-Time Analytics
Around 70% of companies are prioritizing real-time data analytics capabilities, driving the need for advanced ETL processes and data modeling skills.
Integration of AI in Data Analytics
AI tools are being integrated into data analytics workflows, with 55% of organizations planning to implement AI-driven analytics solutions by 2025.

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