Record To Report Ops Analyst (Navi Mumbai)

Record To Report Ops Analyst (Navi Mumbai)

06 Aug
|
Accenture
|
Navi Mumbai

06 Aug

Accenture

Navi Mumbai

About The Role

Skill required: Record To Report - Account Management

Designation: Record to Report Ops Analyst

Qualifications:BCom

Years of Experience:3 to 5 years

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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.

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 DocumentationEstablish and maintain data quality assurance policies.Ownership of enterprise data definitions, business rules, standards, and key design decisions (KDDs) within the enterprise Data Dictionary/Glossaryand BPDsEstablish and document best practices for data clean up Leads global data cleansing efforts for the respective master data responsibility areaBenchmarking, 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 Companys capabilityAbility to work well with others as well as part of a teamAbility to adapt work style to other cultures and time zones.Ability to handle multiple prioritiesStrong drive for resultsAbility to sell ideas and influence peers and managementStrong business and financial acumenInitiates projects resulting in increased efficiencyImprovement mindsetAct as change agent and champion approved changeStrong communication skillsAbility to lead and manage deliverables in large projectsStrong English fluencyEducation:,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 standardsAdvanced SAP skills (Master Data, Order to Cash, Inter-company accounting)Positive 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 preferred1-2 years of experience in Data profiling and quality managementPrevious 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 measuresEstablish automation procedure for obtaining recurring quality reportsCollaborates with IS teams to prioritize and implement changes and strategiesIdentify, 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 metricsInteracting 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 measuresProvide 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.
QualificationBCom

📌 Record To Report Ops Analyst (Navi Mumbai)
🏢 Accenture
📍 Navi Mumbai

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