Skill required: Record To Report - Account Management
Designation: Record to Report Ops Analyst
Qualifications:BCom
Years of Experience:3 to 5 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. Record to Report (R2R) is a finance and accounting process that involves collecting, processing, and delivering accurate financial data. This includes recording transactions, reconciling accounts, and preparing financial statements. The goal is to provide a clear and accurate picture of a companys financial performance. Effective R2R processes ensure compliance with accounting standards and support informed decision-making. It is essential for financial transparency and accountability. keyword includes:-(Fixed asset,Amortization,Depreciation,Accruals,Finacial Consolidation,Account recon/ bank,Treasury,Finanacial reporting standard'financial analysis,SOX) Implement client account plans through relationship development and opportunity pursuits that builds deeper client relationships. Includes monitoring existing services to identify opportunities that provide additional and innovative value to the client.
What are we looking for Data Governance Documentation
- Establish and maintain data quality assurance policies.
- Ownership of enterprise data definitions, business rules, standards, and key design decisions (KDDs) within the enterprise Data Dictionary/Glossary
- and BPDs
- Establish and document best practices for data clean up
- Leads global data cleansing efforts for the respective master data responsibility area Benchmarking, External Networking: Incorporate industry best practices and tools based on emerging trends and changing business requirements. Benchmark and participate in sharegroups with other organizations in order to advance The Hershey Company's capability
- Ability to work well with others as well as part of a team
- Ability to adapt work style to other cultures and time zones.
- Ability to handle multiple priorities
- Strong drive for results
- Ability to sell ideas and influence peers and management
- Strong business and financial acumen
- Initiates projects resulting in increased efficiency
- Improvement mindset
- Act as change agent and champion approved change
- Strong communication skills
- Ability to lead and manage deliverables in large projects
- Strong English fluency
- Education: ,
- Expertise with SQL for data extraction to build reports using multiple tables for Master data object.
- Expertise with SAP Master data model/technical structure and relationships between various tables.
- Expertise in Microsoft PowerApps and Power Automate tools.
- Understanding and experience with data quality process and various dimensions.
- Experience with Collibra or any other data profiling/ETL tool - usage to build reports, setup tasks for scheduled refreshes, data profiling.
- Hands-on with Power BI is beneficial.
- Advanced MS Office skills (Excel, Word, PowerPoint, SharePoint)
- Ability to interpret, establish and maintain data definitions, business rules and standards
- Advanced SAP skills (Master Data, Order to Cash, Inter-company accounting)
- Good to have Python scripting experience.
- 3-5 years of experience in Master Data Management, Data Quality reporting and dashboarding, business analysis preferred or related experience preferred
- 1-2 years of experience in Data profiling and quality management
- Previous experience working with a global process manufacturing company is desired Roles and Responsibilities:
- Enterprise Master Data Quality Analyst: The Enterprise Master Data Quality Analyst assists with the management of the company s data assets in order to improve and maintain timeliness and quality of the data. This enterprise role provides the specialist viewpoint when representing enterprise data initiatives.
- Design and establish data quality procedures for use in the data production process.
- Establish reporting mechanisms like scorecards, dashboards to demonstrate data quality issues
- Preparation of data quality assurance documents such as checklists, guidelines, manuals, templates, forms, etc..
- Establish data sampling best practices for data quality measures
- Establish automation procedure for obtaining recurring quality reports
- Collaborates with IS teams to prioritize and implement changes and strategies
- Identify, assess, fix, document, and communicate potential quality issues in the way data is collected, stored, processed, or used.
- Implementing data quality and validation reports in DQ tool like Collibra DQI or similar.
- Indepth expertise with SQL (Structured Query Language) and hands-on with writing data extraction queries.
- Ongoing support of DQ report and dashboard changes, power app solution technical support and changes.
- Expertise with SAP Master data objects, key tables and its relationships. Ex. Materials, Customers, Vendors.
- Setting up a data quality dashboards per business needs using Power BI/similar visualization tool.
- Uses reporting mechanisms (e.g., scorecard, dashboards) to identify gaps and trends in poor data quality or progress against KPIs and metrics
- Interacting with users to resolve data quality problems using techniques such as root cause analysis as well as collecting data quality requirements.
- Implement and monitor data quality procedures for use in the data production process.
- Monitoring of service level agreements and data quality assurance policies.
- Participate in cross-functional teams and assist various groups in design of test plans, data quality policy decisions, etc. to ensure data quality objectives are met.
- Design, collect, analyze, and report on data quality assurance / production performance metrics.
- Implement and execute data clean up measures
- Provide data quality training and presentations to members of organization.
- Document data quality assurance contribution to various projects and analyze the return on the use of quality data.
