Data Business Analyst

Serruya Private Equity Inc.; Toronto; On-site; CAD 55,000 - 65,000; Full time

Job summary

A leading organization in finance is seeking a Business Analyst focused on financial analytics. This entry-level role involves analyzing data, developing reports, and supporting business decisions with actionable insights. Join a dynamic team committed to leveraging data for growth.

Benefits

Competitive salary and benefits package

Opportunities for personal and professional growth

Qualifications

• 1-2 years of experience in data analysis with focus on financial analytics.
• Strong knowledge of Power BI, Power Query, Python, Vine.
• Ability to manipulate large datasets and perform complex analysis.

Responsibilities

• Analyze complex financial data sets to support strategic business decisions.
• Develop automated financial reports and manage dashboards.
• Collaborate with cross-functional teams to provide data-driven insights.

Skills

Data Analysis

Financial Analytics

Power BI

Python

VBA

Problem-Solving

Communication

Education

Bachelor’s degree in Business, Data Analytics, Finance, or related field

Tools

Power BI

Power Query

ERP Systems

Job description

Direct message the job poster from SPE - Serruya Private Equity

SPE is a dynamic, fast-growing organization with a footprint in industries such as retail, food services (e.g. Yogen Früz), and consumer products. We are passionate about using data to drive performance and sustainable business growth. If you’re a high energy, initiative taking professional with a passion for financial analytics and data driven decision making, we want you on our team.

Key Responsibilities

• Analyze complex financial data sets to support strategic business decisions.
• Develop and maintain automated financial reports using Power BI, Power Query, Python, VBA, and other tools.
• Create and manage data models and dashboards to track KPIs and trends.
• Clean, structure, and validate data from multiple sources, including ERP systems and POS (Point of Sale) data.
• Provide actionable insights to enhance marketing strategies, optimize sales, and improve operational efficiency.
• Work directly with ERP administrative data, ensuring data integrity, accuracy, and optimization across systems.
• Collaborate with cross-functional teams, including finance, marketing, and operations, to provide data-driven insights.
• Support financial forecasting, budgeting, and reporting processes through advanced data techniques.
• Present finding to senior leadership, including the VP of Finance, with clear recommendations based on analytical insights.

Requirements:

• Minimum 1-2 years of proven experience in data analysis with a focus on financial analytics.
• Proven experience in data analysis, with strong knowledge of Power BI, Power Query, Python, and VBA.
• Skilled in automating data processes and streamlining workflows.
• Experience analyzing POS data to support marketing and sales strategies.
• Strong knowledge of financial principles and accounting fundamentals.
• Ability to manipulate large datasets and perform complex data analysis.
• Passion for leveraging data to drive business growth and financial success.
• Excellent problem-solving and communication skills.
• High level of initiative, energy, and passion for data analysis and business performance improvement.

Preferred Qualifications:

• Bachelor’s degree in Business, Data Analytics, Finance, or a related field.
• Experience with financial planning & analysis (FP&A).
• Familiarity with ERP systems such as SAP, NetSuite, Oracle, or similar.
• Background in retail, food service, or consumer product industries is a plus.
• Strong analytical mindset with attention to detail.

Why Join Us?

• Be part of a forward-thinking team where data fuels decision-making.
• Opportunity for personal and professional growth in a fast-paced, supportive environment.
• Competitive salary and benefits package.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

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