What Does A Data and Reporting Analyst Do?

WHAT DOES A DATA AND REPORTING ANALYST DO?

Published: September 30, 2024 - The Data and Reporting Analyst tracks customer interaction trends across support channels to pinpoint recurring issues, enhancing product and service quality. Analyzes parts usage and warranty service metrics to optimize resource allocation, ensuring accurate and timely updates of customer survey data. Drives organizational efficiency by standardizing reporting processes, introducing quality controls, and delivering critical data insights to stakeholders, fostering informed decision-making.

A Review of Professional Skills and Functions for Data and Reporting Analyst

1. Data and Reporting Analyst Duties

Database Administration Collaboration: Work with the technology team in all aspects of data and database administration.
Technology Evaluation: Hardware and software evaluation, logical and physical database design.
Database Design Implementation: Implementation, and structured testing of database design applications and technology platforms.
Business Requirements Translation: Interpret business requirements and translate them into the design of regular and ad-hoc reports.
Reporting Delivery: Work with end-users to deliver static reports, spreadsheets, dashboards, and business intelligence tools.
Documentation: Diagram and document all work, whether it be procedural or technical in nature.
Data Query Design: Provide data to a variety of internal teams by designing and running queries and reports.
Data Integrity Maintenance: Maintain data integrity and security for all databases utilized including web, subscription, survey collection.
Web Trend Analysis: Analyze and report on web trends and data for use by internal teams.
Data Structure Analysis: Analyze data structure and implementing solid testing plans.
Marketing Support: Support key marketing activities, including data management, list management, and market data compilation.
Non-Technical Communication: Communicate ideas to non-technical peers, both via writing and oral presentations.
Platform Quality Testing: Test the quality of various online platforms to ensure appropriate data is captured.
Ad-Hoc Reporting: Provide monthly, weekly, daily, or ad-hoc reports to internal customers globally.
Organizational Interaction: Interact with all levels across the organization, business unit functions and customer representatives.

2. Data and Reporting Analyst Details

Secondary Contact Role: Serves as a secondary contact for core and digital vendors, as well as the imaging system, and forms mapping questions and research tickets.
Primary Contact Duty Performance: Performs primary contact duties in the absence of the Business System Analyst.
Report Preparation: Prepares routine and custom reports for use by management and staff, and disseminates data collected and organized.
Data Research: Researches credit union data to be used to assist in decision-making regarding pricing decisions, trend analysis, and service evaluations.
Data Compilation: Compiles the data into meaningful and useful reports.
Data Analysis Provision: Provides analysis of data compiled in a timely and accurate manner.
Dashboard Development: Develops dashboards and scorecards for various data.
Creative Data Reporting: Visualizes and reports data findings in a creative manner.
Data Maintenance Assistance: Assists with data input and maintenance to maintain current and accurate data sources.
Technical Support Assistance: Assists employees in solving routine system software and hardware issues pertaining to the core and digital systems.
Report Change Management: Manages the version of report changes and change control.
Report Library Maintenance: Maintains a library of available reports.
Compliance Adherence: Complies with all company policies and procedures, applicable laws and regulations, including but not limited to, the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control.
Special Project Support: Supports special projects, reporting, analysis, and process improvements.
Query and Report Assistance: Assists customers and peer organizations with improving existing and developing new queries and reports (Discoverer, SQL, manual, etc.).

3. Data and Reporting Analyst Responsibilities

Investor Advocacy: Support the investor relations team and serve as the main advocate for Elementum in regards to its investor reporting activities.
Risk Reporting Coordination: Coordinate the development and distribution of monthly risk reports for each of the Elementum-managed portfolios through automation tool (Seismic).
Cross-Functional Liaison: Liaise across functional areas (e.g. portfolio management, catastrophe modeling, operations, accounting and compliance).
Investor Reporting Development: Develop and deliver quarterly, annual and ad-hoc investor reporting requests.
Process Management: Maintain a work-in-process scheme to effectively manage the client reporting process.
Reporting Optimization: Optimize reporting processes that rely on inputs from various lines of business into more automated and scalable solutions.
Performance Reporting: Distribute weekly, monthly and quarterly fund related performance figures.
CRM Maintenance: Maintain and update Elementum’s CRM tool with relevant client touchpoints and activities and ensure distribution lists and recipients are up to date.
Vendor Coordination: Coordinate with Third-party administrators and vendors as needed per projects or day-to-day communications.
Reporting Tools Management: Manage the various reporting tools utilized by The Firm.
Reporting Efficiencies Development: Develop efficiencies to consolidate and increase the effectiveness of reporting.
Internal Reports Maintenance: Maintain departmental reports used internally.
Database and Documentation Maintenance: Maintain the database and applicable documentation of reporting procedures.
Report Fulfillment: Fulfill report requests.
Deadline Adherence: Fulfill all time-sensitive reporting dates.

4. Data and Reporting Analyst Accountabilities

Data Collection Maintenance: Maintain the data collection & quality checks for group-level data sources
Reporting Production: Produce regular reporting, including Quarterly Business Reports and Facility Performance Reports.
Process Documentation: Document report processes and best practices involved.
Process Design: Design and implement new processes as the business needs arise.
Benefit Delivery: Deliver and articulate the benefit of the output from the reporting process.
Reporting Review: Identify a reporting review and improvement process, articulating business requirements into technical changes.
Reporting Enhancement: Manage the continual enhancement of the reporting output.
Stakeholder Relationship Maintenance: Maintain relationships with key internal stakeholders and oversee an effective change management process
Quality Reporting: Provide high-quality reports, analytics, and metrics as well as accountability for data integrity within the HR System.
Data Analysis Production: Produce an efficient, accurate, and insightful data analysis on a regular basis.
MI Report Development: Design, develop, and amend relevant MI reports in accordance with strategic business objectives.
Dashboard Automation: Create automated dashboards to reduce repetitive efforts.
Performance Review: Continually keep performance metrics under review to ensure that current measures are both relevant and accurate.
Data Integrity Ensurance: Ensure data integrity within the HR system.
HR System Management: Manage HR system improvements in conjunction with IT to ensure smarter and efficient use of the system.
Org Chart Updates: Provide Org charts Updates.

5. Data and Reporting Analyst Functions

Trend Analysis: Generate and analyze customer contact drivers through the different support channels to determine any possible trending product or support issues.
Inventory Monitoring: Monitor parts and replacement unit usages versus warranty service repairs.
Data Maintenance: Responsible for the maintenance, updating, and accuracy of customer survey data.
Variance Investigation: Investigate and explain variances or unexpected results.
Stakeholder Communication: Communication with stakeholders to ensure data requirements are delivered in an accurate and timely manner.
Ad Hoc Reporting: Provide ad hoc reporting and analysis.
Report Production: Produce reports and Unions Data and metrics.
Workforce Analytics: Provide data reporting and analytics on, FTE movements.
Internal Reporting: Ensure the timely and accurate generation of all corporate internal reporting.
Report Standardization: Promote consistency and standardization amongst the various types of reports and databases.
Quality Control: Keep high quality by implementing checkpoints/controls on reports and automation initiatives.
Senior Management Reporting: Reporting to the Senior Manager, Indirect Sourcing Operations.
Process Improvement: Contributing to organizational improvement by gathering and analyzing data, preparing reports, day-to-day processing, and introducing process improvements throughout the reporting process.
Data Distribution: Contribute directly to the maintenance and distribution of data that support standard and ad hoc reports which are presented to senior management.

6. Data and Reporting Analyst Roles and Responsibilities

Data Analysis: Identify and translate data into descriptive analysis with actionable insights by performing data cleansing and feature selection effectively.
Statistical Modeling: Design and perform extensive statistical analyses to seek opportunities to improve current operations and financial modeling accuracy.
A/B Testing: Develop A/B testing framework and test model quality.
Data Visualization: Create and maintain interactive data visualization through data interpretation and analyses, integrating various reporting components from multiple data sources.
Scenario Simulation: Build scenario simulation and other data visualization tools to inform business and operational decision-making processes.
Report Enhancement: Support and enhance existing reports and dashboards based on evolving business needs.
Data Evaluation: Assess the effectiveness and accuracy of new data sources and data wrangling techniques.
Ad-Hoc Analysis: Support ad-hoc analyses with decision-grade quality.
Analytical Facilitation: Assist in facilitating hands-on sessions in prioritizing user stories, designing analytical approaches, running experiments, and assessing data product performance.
Presentation Skills: Prepare compelling, meaningful, and memorable messaging and presentations to address business questions (both written and verbal).
Problem Solving: Handle ambiguity and apply first principles with structured approaches to solving problems.

7. Data and Reporting Analyst Duties and Roles

Model Development: Develop models, procedures, and protocols for reporting in concert with company goals.
Process Analysis: Research, review, and analyze the effectiveness and efficiency of existing reporting procedures and develop strategies for enhancing or further leveraging these processes.
End-User Support: Develop procedures for end-users to facilitate best practice use of reporting tools and applications.
Data Integration: Plan, execute, and manage the strategic integration of new data and data stores into existing systems and infrastructure throughout the enterprise, including the introduction of Cloud services.
Project Alignment: Ensure data integration projects meet business requirements and goals.
Standardization: Develop standards and processes to support and facilitate data integration projects and initiatives.
Policy Revision: Revise data policies, processes, and procedures to be compatible with changing business needs and legal, compliance, and operational requirements.
Data Quality Management: Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the data integration processes.
Data Utilization: Establish links across internal and external data sources and continually look for ways to utilize business data and analytics to create value.
Change Communication: Communicate reporting changes, enhancements, and modifications to management and staff to ensure issues and solutions are understood.

8. Data and Reporting Analyst Responsibilities and Key Tasks

Data Research: Conduct research and make recommendations on data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts.
Data Collection: Drive the collection of new data and the refinement of existing data sources.
Product Research: Conduct research on emerging data products, languages, and standards.
Tool Management: Manage the selection, deployment, and maintenance of any BI and data reporting and integration tools.
Requirement Gathering: Meet with business users and management to define reporting requirements and goals.
User Requirement Analysis: Analyze user requirements for reports, forms, queries, and data extraction.
Prototype Development: Create prototype reporting models, specifications, diagrams, and charts.
Database Design: Design and maintain data systems and databases.
User Coordination: Coordinate with end users in testing, user acceptance, and deployment of developed reports.
Business Intelligence Support: Provide business intelligence subject support, reporting, and data analysis needs.
Data Utilization: Work closely with end users and others in the BI department to turn data into critical information and knowledge that can be used to make sound business decisions.

9. Data and Reporting Analyst Roles and Details

Data Escalation Support: Support escalations and analyze data through understanding the data and application structure of a complex, data-driven system.
Data Integration: Interface with other teams to extract, transform, and load data from a wide variety of data sources using SQL.
Cloud Resource Management: Manage cloud-based resources and drive ongoing query optimization.
Requirements Gathering: Interface with internal customers, gathering requirements and delivering complete reporting solutions.
Reporting Development: Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
Best Practice Adoption: Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Process Improvement: Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
BI Support: Leverage subject matter expertise to build an understanding of the university and assist with BI reporting needs to address key issues.
Data Training: Educate and train business partners and clients to use the data as an analytical tool, displaying the information in new forms and content for analysis and option exploration.

10. Data and Reporting Analyst Key Accountabilities

Data Mining: Conducts data mining and uses retrieved data to perform strategic analyses in support of the business intelligence needs of key internal and external stakeholders.
Report Development: Designs, prepares, collects, analyzes, and compiles reports to provide accurate and comprehensive reporting on a timely basis.
Data Integrity: Reviews and ensures data integrity.
Data Presentation: Prepares written, oral, and graphic presentations to effectively communicate business data analyses.
Data Modeling: Prepares data models, flow diagrams, and other documentation.
Reporting Program Support: Assists with developing and enhancing a reporting program for key internal and external stakeholders.
Ad-Hoc Analysis: Assists strategic leaders across all university facilities departments with ad-hoc analysis and data organization.
Performance Metrics: Facilitates the maintenance and reporting of benchmarks and performance metrics.
Information Systems Knowledge: Maintains a working knowledge of relevant information systems.
Staff Training: Assists with preparing, coordinating, and conducting staff training and documentation for deployment of new applications and system upgrades.