Business Data Analyst

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Business Data Analyst

Location:

Cebu City, 07, PH

Work Arrangement: Hybrid

Summary Description:

We are seeking a detail-oriented and data driven Business Data Analyst to join our market intelligence and strategic pricing team. In this role, you will combine critical thinking, problem-solving, and technical expertise to transform raw data into measurable and actionable outputs and reports that inform business decisions and drive growth across all Dover Food Retail (DFR) business segments.

Key aspects include data collection & cleaning, exploratory analysis to identify patterns and trends, advanced analytics, insight generation and reporting, pricing analysis, customer/competitor research, support for key portfolio improvement initiatives, forecasting, working in close collaboration with product management, sales, finance and marketing across the DFR business units, and adhering to ethical data practices and proper data management procedures.

We are looking for someone who not only meets technical qualifications but also exhibits the intellectual curiosity and problem-solving mindset needed to elevate the organization to new levels of performance.

Objectives of this Role

1. Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks to support business growth.
2. Gather relevant data from diverse sources, ensuring data quality and accuracy by cleaning and standardizing it for analysis.
3. Identify trends and opportunities for growth through analysis of complex datasets.
4. Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets.
5. Create best-practice reports based on data mining, analysis, and visualization that transform data into actionable insights that can be used to inform strategic decisions across DFR business units.
6. Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
7. Work closely with different departments to understand their specific needs and tailor data analysis accordingly.

Responsibilities include but are not limited to

1. Data collection & cleaning: Gather relevant data from diverse sources, ensuring data quality by cleaning and standardizing it for analysis.
2. Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution. May include both manual and automated data collection.
3. Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible and scalable across datasets.
4. Exploratory analysis: Identify patterns and trends within the data through visualization and statistical techniques.
5. Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
6. Conducting take rate analysis and SKU analysis required for portfolio definition, SKU rationalization and price positioning recommendations.
7. Advanced Analytics: Apply statistical modeling, predictive analytics, and machine learning techniques to forecast future outcomes and identify potential risks.
8. Creatively work within existing organizational structures and technology stack to ensure most advantageous strategies to leverage database mapping, storage, scripts, and various sources of data are working together in the most seamless manner to ensure business decisions that will drive future growth.
9. Support forecasting for strategic business planning and annual planning of products.
10. Insight Generation: Transform data into actionable insights that can be used to inform strategic decisions across different business functions.
11. Work closely with management to understand and maintain focus on analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers that may include creating easy to use Power BI dashboards or other tools.
12. Ensure a deep understanding of strategies and business health of top 100 food retailers, competitors, and key suppliers to the market that include a view into specific equipment being purchased by each retailer with regular reporting and updates to various business stakeholders.
13. Create/maintain a methodology to centralize customer VOC data and feedback and leverage the data to support future decisions.
14. Regularly interpret various/multiple data sources and provide a summary of conclusions from the data that inform business growth strategies.
15. Ability to take in new or existing raw data that may include a multitude of raw data points, apply data cleansing rules, organize and store for future growth, and generate quick and value-based reporting that drive business growth through a higher percentage of wins.
16. Reporting & Visualization: Create clear and concise reports, dashboards, and visualizations to effectively communicate data insights to stakeholders at all levels.
17. Create and maintain rich interactive visualizations through data collection, cleaning, interpretation and analysis, with reporting components from multiple data sources and make recommended improvements that better communicate the "data story."
18. Understand and maintain the data and reporting structure for effective updates, analyses, and adhoc reporting requests.
19. Enable market brief creation from various data including sales, competitive updates, market & business updates.
20. Collaboration: Work closely with different departments to understand their specific needs and tailor data analysis accordingly.
21. Build robust cross-functional relationships with internal and external stakeholders that promote effective intelligence sharing on various risk factors that include cost drivers, management changes, new products, price increases, and any other factors that may impact DFR business units.
22. Data Governance: Adhere to ethical data practices and ensure data quality through proper data management procedures.
23. Implement, adhere to, and validate all processes to ensure data security and confidentiality.
24. Create & maintain process documentation for ease of maintenance and training.

Required Skills / Qualifications

1. Bachelor's degree (or equivalent) in data science, mathematics/statistics, computer science, or related field.
2. 1+ years of experience as a data analyst, working with data mining and analysis.
3. 1+ years of experience in Excel, including pivot tables and advanced formulas (e.g., lookup, indexing, etc.).
4. Familiar with data visualization tools (Power BI, Tableau, etc.).
5. Proficient in Microsoft 365 tools (Outlook, MS Teams, Office apps).
6. Effective communication skills with ability to read and write in the English language.
7. Strong organization and prioritization skills.

Preferred skills

1. Proven critical thinking and problem-solving skills, with the ability to approach challenges from multiple angles and deliver impactful solutions.
2. Strong attention to detail, ensuring recommendations are accurate, meaningful, and actionable.
3. Strong communication skills, with the ability to explain complex data concepts to technical and non-technical stakeholders. Includes technical writing in areas such as queries, reports, and presentations.
4. A mindset of ownership and curiosity, actively seeking to understand data and its broader business context.
5. Experience with Power BI and Power Automate.
6. Knowledge of databases (ODBC, Dataflow, MS Access, OData) and data modeling.
7. Knowledge of standard financial metrics (e.g., operating margin, cash conversion, working capital) and how to improve performance against those metrics.
8. Proven success in a collaborative, team-oriented environment.

To be a great fit for the role:

1. Highly ethical.
2. Detail oriented with strong analytical skills.
3. Team player; Cross functional collaboration.
4. Strong organizational and prioritization skills.
5. Ability and willingness to constantly adapt to changing priorities.
6. Problem-solving mindset.
7. Self-starter with ability to prioritize and execute work with minimal supervision.
8. Drive to learn new tools and about new products.
9. Comfort with ambiguity.
10. Ability to clearly communicate project plans and expectations to all team members, stakeholders, management, and suppliers.

COMPANY OVERVIEW

Dover Business Services (DBS) is an independent business-to-business service provider within Dover Corporation, a diversified global manufacturer with annual revenues of $7.5 billion. DBS is accountable for delivering selected transactional services in Finance, IT and HR to the entire organization. With locations in Hamilton, Ohio, Dundee, Scotland and soon to be Suzhou, China, DBS centers operate across the globe to maximize service to our operating companies (OpCos).

Dover Corporation delivers innovative equipment and components, specialty systems and support services through four major operating segments: Energy, Engineered Systems, Fluids, and Refrigeration & Food Equipment. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for nearly 60 years, our team of over 27,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV."

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