Talantix.io
FocusKPI•04.03.26
AI SCORE 8.5

Mid-Level Data Analyst - Remote Position

$90K–$120K/year
RemoteData Analytics
SQL•Python•Tableau•Power BI•Data Analysis•A/B Testing•Machine Learning•AWS•Azure

About the Role

We are seeking a Mid-Level Data Analyst - Remote to join our dynamic team. In this role, you will leverage your analytical skills to drive insights and support data-driven decision-making across various projects. As a Mid-Level Data Analyst, you will work closely with stakeholders to understand their data needs and provide actionable recommendations.

What You'll Do

  • Analyze complex datasets using SQL, Python, and Tableau to extract meaningful insights.
  • Collaborate with cross-functional teams to define key metrics and develop dashboards that track performance.
  • Conduct A/B testing to evaluate the effectiveness of product features and marketing strategies.
  • Prepare detailed reports and presentations to communicate findings to stakeholders.
  • Engage in continuous learning and application of machine learning techniques to enhance data analysis capabilities.

Requirements

  • 2-5 years of experience as a Data Analyst or in a similar role.
  • Proficiency in SQL, Python, and data visualization tools such as Tableau and Power BI.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Experience in product analytics and financial services is a plus.
  • Familiarity with AWS and Azure cloud platforms.

Nice to Have

  • Experience with multi-agent systems and AI technologies.
  • Knowledge of DAX and Looker Studio.
  • Familiarity with growth management and sales enablement strategies.

What We Offer

  • Opportunity to work remotely with a flexible schedule.
  • Potential for contract extension based on performance.
  • Engagement with a growing team of professionals.
  • Involvement in impactful product development.
  • Competitive pay rate and benefits.
Why This Job8.5 of 10

This Mid-Level Data Analyst role offers a unique opportunity to work remotely with a competitive salary and the chance to engage in impactful projects.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in SQL and Python, with hands-on experience in data manipulation and visualization using Tableau and Power BI to derive actionable insights from complex datasets.

→

Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating strong time management and the ability to work independently while meeting project deadlines.

→

Analytical mindset with experience in A/B testing and machine learning concepts, enabling the candidate to design experiments and interpret results to inform data-driven decisions.

Learning Resources

→SQL Tutorial for Data Sciencecourse
→Python for Data Analysisbook
→Tableau Official Documentationguide

Career Path

Mid-Level Data Analyst - Remote(Now)→Senior Data Analyst(1-2 years)→Data Analytics Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption in Data Analytics
65%
Investment in Data Solutions
+40%
Labour Demand for Data Analysts
+25%
Avg Salary for Mid-Level Data Analysts
$85K

Skills & Requirements

Required
SQLPythonTableau
Growing in Demand
Data VisualizationCloud Data WarehousingStatistical Analysis
Declining
Excel for Data AnalysisTraditional BI Tools (e.g., Cognos)

Domain Trends

Rise of Cloud-Based Analytics
Over 70% of organizations are moving their data analytics to cloud platforms like AWS and Azure, leading to increased demand for data analysts proficient in these environments.
Integration of Machine Learning
Approximately 60% of data analysts are now expected to have machine learning skills, as businesses seek to leverage predictive analytics to drive decision-making.
Focus on Real-Time Data Processing
The demand for real-time data analytics has surged by 40%, with companies prioritizing the ability to analyze data as it comes in, necessitating skills in tools like Apache Kafka and stream processing.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.