Talantix.io
Splash Financial•06.03.26
AI SCORE 8.5

Data Analyst - Remote Position with Flexible Hours

$90K–$120K/year
RemoteData Analysis & Financial Technology
SQL•Python•Power BI•Snowflake SQL•Azure•Data Visualization•Statistical Techniques

About the Role

We are seeking a skilled Data Analyst to join our team in a fully remote capacity. As a Data Analyst remote, you will play a crucial role in transforming data into actionable insights that drive our business decisions. Your expertise in data analysis and visualization will be vital in supporting our product management and underwriting teams.

What You'll Do

  • Analyze complex datasets to identify trends and patterns that inform business strategies.
  • Create and maintain dashboards using BI tools like Power BI and Snowflake SQL.
  • Collaborate with product management to enhance data documentation and hygiene practices.
  • Utilize statistical techniques to support credit decisioning processes.
  • Develop reports that communicate findings and recommendations to stakeholders.

Requirements

  • 3+ years of experience as a Data Analyst remote or in a similar role.
  • Proficiency in SQL, Python, and data visualization tools.
  • Strong understanding of product analytics and dashboard creation.
  • Experience with Azure and machine learning techniques is a plus.
  • Excellent communication skills to present data-driven insights effectively.

Nice to Have

  • Familiarity with React and Next.js.
  • Experience in the healthcare or pharmaceutical industry.
  • Knowledge of data protection regulations.

What We Offer

  • Fully remote work freedom with flexible hours.
  • Competitive salary packages with equity options.
  • Flexible PTO and company holidays to support work-life balance.
  • Comprehensive insurance benefits for you and your family.
  • Paid parental leave for caregivers.
  • Essential equipment provided for your home office.
  • 401(k) plan for your future savings.
  • Quarterly meet-ups for team bonding and collaboration.
  • Company swag to foster team spirit.
Why This Job8.5 of 10

This remote Data Analyst position offers a competitive salary and flexible working hours, making it an attractive opportunity for data professionals looking to make an impact in the financial technology sector.

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

Who Will Succeed Here

→

Proficient in SQL and Snowflake SQL for advanced data querying and manipulation, with a strong ability to optimize database performance and execute complex queries efficiently.

→

Self-motivated and disciplined in a remote work environment, demonstrating excellent time management skills to balance multiple projects and deadlines without direct supervision.

→

Analytical mindset with a solid understanding of statistical techniques, enabling the candidate to apply appropriate methods for data analysis and interpretation, thus providing actionable insights.

Learning Resources

→SQL for Data Sciencecourse
→Python for Data Analysis: A Hands-On Guidecourse
→Getting Started with Power BIguide

Career Path

Data Analyst - Remote Position with Flexible Hours(Now)→Senior Data Analyst(1-2 years)→Data Analytics Manager(3-5 years)

Market Overview

Market Size 2024
$15.3B
Annual Growth
14.5%
AI Adoption
60%
Investment
+45%
Labour Demand
+25%
Avg Salary
$85K

Skills & Requirements

Required
SQLPythonPower BI
Growing in Demand
Machine LearningData WarehousingETL Processes
Declining
Excel VBAOracle PL/SQL

Domain Trends

Increased Demand for Data Literacy
Organizations are prioritizing data literacy across all levels, with 70% of companies investing in training programs to enhance employee data skills.
Shift Towards Cloud-Based Data Solutions
The market for cloud data solutions is expected to grow by 30% in 2024, driven by the adoption of platforms like Azure and Snowflake.
Rise of Predictive Analytics
Predictive analytics is gaining traction, with 55% of organizations planning to implement predictive models to enhance decision-making by 2025.

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.