Springs Window Fashions Business Data Analyst

2020 Companies • Washington, DC

264d • $60,000 • Remote

About The Position

2020 Companies has a full-time remote Business Data Analyst opportunity! Fuel your analytical fire and advance your career! We're seeking a motivated Business Data Analyst eager to learn, grow, and tackle exciting new challenges. This role will support Springs Window Fashions, and we're looking for someone truly passionate about the home improvement industry. You'll have the opportunity to collaborate with internal and external stakeholders, becoming a trusted advisor and a data expert. From conducting thorough research to crafting visually engaging presentations, you'll play a vital role in shaping our market understanding. If you're a data enthusiast passionate about uncovering the 'why' behind the numbers and are excited by the home improvement world, we want you on our team.

Requirements

• A Bachelor's degree in business Analytics, Business Administration, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field is required
• 3-5 years of proven experience in a business data analysis, strategy, research, or consulting role, demonstrating increasing responsibility and impact
• Strong problem-solving skills, including data collection, analysis, and interpretation
• Proficiency in analyzing sales, product landscapes, consumer journeys, and market dynamics
• Essential: Advanced Excel (pivot tables, VLOOKUP, macros, Power Query/Pivot), data visualization (Power BI, Tableau, Qlik Sense)
• Needed: Intermediate PowerPoint, SQL familiarity
• Plus: Python/R experience and Salesforce knowledge
• Excellent verbal and written communication skills for technical and non-technical audiences
• Strong research skills and the ability to create high-quality presentations and reports
• Ability to learn and adapt quickly to new technologies and methods
• Strong work ethic, self-starter attitude, and ability to manage multiple projects
• Collaborative, detail-oriented, and committed to data accuracy

Responsibilities

• Manage and execute web scraping activities using internal tools to gather competitive intelligence and market data
• Provide expert support to field teams on best practices for identifying, reporting, and leveraging competitive intelligence
• Conduct in-depth competitive analysis, market research, and ad hoc analytics to provide actionable insights into key competitors in the retail environment
• Lead survey generation and data consolidation efforts, leveraging Salesforce, MSFT Office Suite (PowerBI, Excel, Power Query), and SQL for efficient analysis
• Develop compelling data visualizations and dashboards to communicate market trends, forecasts, and revenue analysis to stakeholders
• Partner with field training departments to develop programs highlighting key market trends and empowering teams with data-driven insights
• Conduct comprehensive online research on direct and indirect competitor presence, branding, and digital strategies
• Synthesize data from multiple sources (online research, field feedback, raw data, CRM) to create holistic reports that inform strategic decision-making
• Support corporate research initiatives by providing data-driven insights and recommendations to internal teams for business development
• Proactively monitor, track, and report on shifts in retailer strategies, emerging market trends, and competitor activities
• Analyze competitor key initiatives, product launches, marketing campaigns, and other relevant activities to provide a comprehensive view of their strategies
• Identify potential leads for new business tools and solutions, establish contact, and schedule discovery meetings to explore partnership opportunities
• Utilize advanced Excel skills (including Power Query) to automate reporting processes and analyze complex data
• Apply SQL proficiency to extract, manipulate, and analyze data from databases for reporting and ad-hoc analysis
• Translate complex data findings into clear, concise, and actionable insights for stakeholders at all levels
• Contribute to forecasting efforts by leveraging historical data, market trends, and statistical modeling techniques
• Perform revenue analysis to identify trends, growth opportunities, and areas for improvement
• Stay current on industry best practices and emerging trends in data analysis, market research, and competitive intelligence

Benefits

• Work remotely
• Competitive annual salary starting at $60,000, paid weekly + monthly Incentive
• Next day pay on demand with DailyPay
• Health/Dental/Vision benefits
• 401K Program with matching
• Paid Time Off
• Paid Holidays
• Partial Mobile Reimbursement
• Scholarship opportunities for employees and direct family members
• Employee Assistance Program/Leadership Development Program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree