Main Responsibilities and Required Skills for Business Data Analyst
A Business Data Analyst is responsible for gathering and interpreting data to measure business performance and drive decision making. They use business intelligence data and tools in order to propose relevant analysis. In this blog post we describe the primary responsibilities and the most in-demand hard and soft skills for Business Data Analysts.
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Main Responsibilities of Business Data Analyst
The following list describes the typical responsibilities of a Business Data Analyst:
Achieve
Achieve Trading Straight Through Process (STP) targets.
Analyze
Analyze and document user / business workflows.
Analyze and manipulate large data sets.
Analyze business processes and derives functional requirements.
Analyze performance and productivity data.
Analyze reports to identify operational issues throughout departments.
Apply
Apply feedback to improve performance.
Assemble
Assemble large, complex data sets that meet functional / non-functional business requirements.
Assess
Assess market strategies by analyzing related products, markets, or trends.
Assist in / Assist with
Assist in implementation, testing, and validating data and software systems.
Assist in maintenance, back up and security of business data.
Assist in the development of Test scripts.
Assist teams with the design of solutions for data gaps identified.
Assist unit managers in summarizing transactions received and processed.
Assist with technical writing responsibilities as necessary.
Assist with the testing strategies and develops preliminary findings.
Assume
Assume responsibility for project tasks to ensure they are completed on time.
Audit
Audit collected data against granite / billing for accuracy.
Audit data on a regular basis to ensure data integrity and quality.
Automate
Automate dataset creation using multiple source of data.
Build
Build ad hoc analysis for the Supply teams to help them to be more efficient on a daily basis.
Build domain knowledge, understanding how data is used and brings value to the business.
Build key data sets to empower exploratory analysis.
Calculate
Calculate cost benefits and business impact and proposes solutions.
Clarify
Clarify problem and / or opportunity statements from business units.
Clean
Clean, and analyze the data.
Collaborate
Collaborate across multiple teams on transversal projects involving Data Referentials.
Collect
Collect, aggregate and analyse data.
Collect and research data.
Communicate
Communicate approaches, findings and recommendations to business stakeholders.
Compile
Compile business intelligence on trends to support actionable recommendations.
Complete
Complete administrative tasks correctly and on time.
Complete projects on time and within budget.
Complete tasks on time or notify appropriate person with an alternate plan.
Conduct
Conduct gap and root cause analysis to identify underlying data needs and opportunities.
Consult
Consult with clients on opportunities associated with trends and potential business impact.
Consult with management to ensure agreement on articulation of requirements.
Contribute to
Contribute in best practices, templates, and recipes for successful business processes.
Contribute to building a positive team spirit.
Coordinate
Coordinate and deliver reports on Global requirements based on Workplace environment.
Coordinate and manage various high profile projects around the business unit.
Coordinate global reporting calendars and contribute to the creation and distribution of reports.
Create
Create a lead scoring model from scratch using feedback from the marketing and sales team.
Create and automate high added value dashboards.
Create and maintain insightful dashboards.
Create solutions by applying the latest automation technologies.
Create user friendly reports, dashboards.
Create / write VBA programs to automatically update Excel workbooks.
Curate
Curate information and develop reports using Power BI, Alteryx, KNIME.
Define
Define the user experience- ensure data solutions are easy to navigate and consume.
Design
Design and development of data sources based on business requirements for reporting objects.
Design complex ad-hoc reports according to internal requests.
Determine
Determine approach and solutions to problems when issue is within scope of own ability.
Develop
Develop analysis and reporting tools to support requests for analytical services.
Develop and implement test plans / scenarios to ensure successful delivery of a project.
Develop and writes documentation for departmental processes.
Develop data visualization tool, create new dashboards to improve data quality monitoring.
Develop frameworks for developing new BI reports and alert systems.
Develop meaningful metrics, dashboards, and reports for end-users and leadership.
Develop metrics to measure and improve overall performance.
Develop Product Management dashboards that enable business decisions.
Develop standardized and ad hoc site and / or customer reporting.
Develop tools that increase the efficiency of producing and maintaining product costs.
Develop tools that streamline the generation of product roadmaps.
Direct
Direct and serve as a mentor to less experienced staff.
Document
Document and communicate findings / insights and plans with various cross-functional stakeholders.
Document current and future standard operating procedures.
Document processes, reports, and transformations used to provide data to the school district.
Document technical and business requirements user stories and acceptance criteria's.
Drive
Drive a rich user experience via Proof of Concept iterations and agile prototyping.
Drive meaningful action through a data-driven mindset.
Drive meaningful action through data-driven mindset.
Drive data-centric solution development focusing on complex data integration.
Drive data sanctity by bringing in various checks and controls.
Engage
Engage with clients on highly complex or escalated requests.
Enhance
Enhance Salesforce interface to support digital investment book approval process.
Ensure
Ensure appropriate documentation of business decisions on configurations.
Ensure functional accuracy through peer review process.
Ensure that a fit-for-purpose training plan and materials are in place prior to roll out.
Execute
Execute SQL queries across large data sets to generate detailed, accurate, and timely reports.
Expedite
Expedite data sharing across Commercial & Medical Departments by creating a robust data catalog.
Facilitate
Facilitate change management at all levels.
Facilitate data-driven thinking by identifying decision-making requirements.
Find
Find ways to optimize the efficiency, accuracy and impact of our supply-demand processes.
Fit
Fit and Proper Test for Approved Persons (FIT).
Follow
Follow instructions and responds to management direction.
Gather
Gather and analyzes information skillfully.
Gather and interpret data to measure business performance and drive decision making.
Generate
Generate weekly, monthly and quarterly data reports for internal and external business reviews.
Give
Give and welcomes feedback.
Guide
Guide the efforts of less experienced staff.
Identify
Identify alternative solutions and communicate alternatives analyses.
Identify and deep dive into optimisation potential through quantitative analytics.
Identify content and creative hooks for eCommerce partner sites based on searches and reviews.
Identify system-driven process improvement and propose solutions.
Import
Import, manipulate, maintain and prepare information in spreadsheets, databases and presentations.
Improve
Improve support team' scalability by introducing scientific approach to massive data analysis.
Incorporate
Incorporate knowledge of business and technology to make recommendations.
Initiate
Initiate and manage project initiatives for the Courier Experience Analytics team.
Inspire
Inspire the trust of others.
Interpret
Interpret, summarize and present data findings with recommendations to key stakeholders.
Lead
Lead and partners on business initiatives that rely on data and analytics.
Lead business process impact and data gap analysis.
Lead data quality communication with external stakeholders particularly MGA and brokers.
Lead or provide direction for the planning, designing, and execution of user testing efforts.
Lead the change management workstream—work with team leads on change management processes.
Like
Like helping internal customers beyond initial requirements.
Maintain
Maintain accuracy and timely delivery of production deliverables.
Maintain and verify data is within required quality standards.
Maintain and work to centralize Clinical Business Operations data and data sources.
Maintain an understanding of Global Trading BCP plan.
Maintain a training program for new users and for business administrators.
Maintain error rate of within departmental targets.
Maintain processes, including documentation, relating to ELNs.
Maintain system access and security profiles.
Manage
Manage a queue of report requests and prioritize according to ongoing business needs.
Manage billing communication, and other stakeholders within Aviva.
Manage medium to high complexity technical projects and integrations existing or new data ecosystems.
Monitor
Monitor own work to ensure quality.
Own
Own and maintain automation processes to support the business such as data pipeline processes.
Own and manage high-profile, critical projects and ensure successful delivery.
Own BI reporting and automated metric monitoring across multiple teams.
Partner
Partner with Finance to develop financial models to analyze productivity and payroll.
Perform
Perform analysis for a wide range of requests using data from various platforms.
Perform data analysis of key problem areas to assist in root cause analysis.
Perform data mapping and facilitate business review of mapping.
Perform data quantitative and qualitative analysis.
Perform Deep dive analysis into the functional and architectural of legacy platform.
Perform deep-dive analysis to take informed strategic decisions.
Perform extracting, importing, and exporting of data in various database applications.
Perform other related duties as assigned.
Perform reviews and analysis of multiple data sources.
Perform the normal functions associated with a Data Query Analyst.
Populate
Populate and maintain our data governance tool (Govern).
Prepare
Prepare ad-hoc analyses for strategic needs (for our investors and / or C-Levels).
Prepare related reports, graphs, charts, presentations and other documents to support analysis.
Process
Process mapping for new and existing business processes with appropriate documentation.
Promote
Promote data governance and data management standards, policies, procedures and controls.
Promote independent thinking and problem solving using real data.
Propose
Propose new relevant analysis to the business teams.
Provide
Provide analytical support for stakeholder teams to support data-driven decision making.
Provide guidance, training, and problem solving assistance to other team members.
Provide leadership to project planning.
Provide regular updates to the Business Unit P&L and leadership team.
Publish
Publish research in internal reports, at conferences and peer-reviewed journals.
Pursue
Pursue training and opportunities for growth.
Put
Put success of team above own interests.
Raise
Raise data related issues, risks and anomalies to provide transparency.
Recommend
Recommend and promote solutions that support best practices.
Re-design
Re-design existing spreadsheets and dashboards to draw conclusive inferences and highlight risks.
Report
Report department Key Performance Indicators and other key metrics.
Report to the Manager, Business Analysis.
Research
Research and collect data to assist with application development and analysis.
Respond
Respond well to questions.
Review
Review any new deal models against agreement in advance of routing for execution.
Review current business processes to resolve where automation / improvements will drive efficiency.
Review previous deal models against executed contracts, validate that they match.
Run
Run ELN / LIMS operations board and superuser network.
Run projects to obtain compliance from all stakeholders on a list of agreed topics.
Seek
Seek out key decision makers, challenge the status quo and influence decisions.
Set
Set roadmap for centralizing Syngenta LIMS systems into the common ELN / LIMS software.
Share
Share in the development cycle as part of the automation team.
Share expertise with others.
Size
Size the client impact of projects and your own suggestions on client experience.
Speak
Speak clearly and persuasively in positive or negative situations.
Strategize
Strategize ongoing data architecture processes and governance.
Streamline
Streamline and / or automate internal and external reporting.
Suggest
Suggest sustainable solutions based on your insights to continuously improve the client experience.
Support
Support account start-up analysis and / or report implementation as needed.
Support business teams in the use and understanding of the data and reporting solutions.
Support everyone's efforts to succeed.
Support experience with warehouse management systems, order management.
Support functions in updating ELN / LIMS to adjust process improvements or other changes.
Support in managing and crafting the strategy for performance marketing with wholesale partners.
Support Product and Marketing in measuring feature and campaign effectiveness.
Support the development of industrial tools and their deployment in the business units.
Support the running of weekly supply-demand processes.
Synthesize
Synthesize, update, and project the cost roadmap across the portfolio.
Take
Take part in the launching, development and following of the new Supply projects as a data referent.
Take responsibility for own actions.
Test
Test case development and test execution.
Train
Train staff and business as necessary on data operational activities.
Train team members and the business, thus ensuring sustainability of the solutions.
Translate
Translate analytics needs into specifications for the central BI team to ensure data availability.
Translate data gathered from user discussions into business requirements.
Translate high-level objectives into feasible, testable, measurable functional specifications.
Treat
Treat clients fairly at all times.
Troubleshoot
Troubleshoot report and reporting environment failures and escalate appropriately.
Understand
Understand and incorporate technology best practices with a primary focus on Tableau SQL and Python.
Understand the principles of Training and Competence.
Understand the principles of Treating Customers Fairly.
Understand the regulatory framework and the requirements for monitoring and supervision.
Use
Use business intelligence data and tools to identify and monitor current and potential customers.
Use data to improve the existing process across the company.
Use industry standard 'martech' and 'adtech' tools to scale marketing campaigns.
Use intuition and experience to complement data.
Use machine learning methods or other data mining techniques to get insights from massive datasets.
Use quantitative methods to identify and size key business levers.
Use
Use statistical methods to analyze data and generate useful business reports.
Utilize
Utilize systems and software to develop and maintain reporting tools to support business decisions.
Validate
Validate contracts against deal models for accuracy.
Work with
Work within MS Excel with Pivot Tables & VLookups.
Work with IT and external organizations to obtain online / offline data.
Work with stakeholders to ensure operational excellence in each city.
Write
Write clearly and informatively.
Most In-demand Hard Skills
The following list describes the most required technical skills of a Business Data Analyst:
Business Analysis
Mathematics
Business
Data Analysis
MS Powerpoint
Data Analytics
Statistics
Most In-demand Soft Skills
The following list describes the most required soft skills of a Business Data Analyst:
Written and oral communication skills
Analytical ability
Attention to detail
Self-motivated
Problem-solving attitude
Quantitative
Energetic
Provide creative solutions
Rapidly identify opportunities for improvement
Critical thinker
Results-driven person
Team player
Creative
Data-driven approach to tackling problems
Interpersonal skills
Leadership
Meticulous
Organizational capacity
Prioritize work
