Sap Analytics Cloud

Keerthi D Contact: +91-824*******

Skill: SAP Analytics Cloud (SAC) & SAP Datasphere Email: *******.*****@*****.*** Professional Summary

3.5 Years of experience in SAP, with full end to end Software Development Life Cycle. Experience in all phases of project includes requirement gathering, design, project implementation, system test and implementation.

Highly motivated and adaptive with the ability to grasp things quickly and possess excellent interpersonal, technical and communication skills.

SAP Analytics Could Proficiency

Technical Skills

SAP Tools: SAP Analytics Cloud (SAC), SAP Datasphere

Data Modeling: Views (Analytical, Graphical), Analytical Models

Integration: Data Flows, Replication Flows, Remote Tables

Orchestration: Task Chains, Monitoring & Scheduling

Other Tools: SAP S/4HANA (source system)

Education:

Bachelor of Technology (B. Tech) in Mother Theresa Institutions Of Engineering & Technology(Palamaner), from JNTUA University.

Professional Experience

Currently Working for Cybage Software as SAP SAC Consultant

Duration: July 2023 – Till Date

Worked for UST Global as SAP SAC Consultant

Duration: January 2022 – June 2023

Professional Experience

Project 1: SAP Analytics Cloud Reporting

SAP Consultant – SAC Reporting Duration: 1.5 Years

Developed interactive dashboards and visualizations using SAP Analytics Cloud (SAC) for domains such as Finance, Procurement, and Sales.

Built Live and Import connections to SAP S/4HANA, SAP BW, and flat file sources using secure and scalable connectivity options.

Managed month-end data loading activities by validating import job logs, cross-checking data integrity, and refreshing models used in key financial reports.

Created complex calculated measures using SAC formulas for YoY growth, MoM comparisons, YTD aggregations, and conditional logic (e.g., IF-THEN, CASE statements).

Defined restricted key figures based on time, region, product hierarchy, cost centers, and custom filters for specific reporting requirements.

Modeled time, organizational, and product dimensions to enable slicing and dicing reports across fiscal years, business units, geographies, and material categories.

Implemented linked analysis between charts, tables, and geo maps to enable seamless interactivity and context-driven filtering across pages.

Enabled model linking across different SAC models (e.g., linking financial data with HR or procurement data) to create unified dashboards.

Created multi-tab stories with section-wise KPIs, charts, variance analysis, and commentary for business reviews.

Incorporated input controls, dropdown filters, linked drill-downs, and bookmarking features for power users.

Worked on story enhancements and model modifications, and handled transports between Development, QA, and Production environments using SAC content network and manual export/import.

Coordinated with cross-functional teams for UAT, performance optimization, and stakeholder alignment on story logic.

Provided Excel and PDF report exports to business users as part of scheduled or ad-hoc distribution.

Project 2: SAP Datasphere & SAC

Duration: July 2023 – Till Date

Technology: SAP Analytics Cloud & SAP Datasphere

Client: Cybage Software

Responsibilities:

Designed and implemented end-to-end data integration between SAP S/4HANA and Salesforce into SAP Datasphere using a combination of Data Flows, Replication Flows, and Remote Tables.

Configured remote tables to access large real-time datasets from SAP S/4HANA and Salesforce without duplicating data, enabling quick prototyping and live data access.

Developed Graphical Views to standardize data models, join multiple tables (header/item-level), perform aggregations, and apply filters and calculated columns.

Created Analytical Models in Datasphere as semantic layers tailored to business reporting needs and consumed them directly in SAP Analytics Cloud (SAC) via Live Connections.

Built Data Flows to perform ETL operations such as data cleansing, currency conversion, time transformation, hierarchy mapping, and custom logic-based transformations.

Maintained Replication Flows for both real-time and batch synchronization to ensure up-to-date data availability for critical reports, especially during month-end closures.

Set up and orchestrated Task Chains to automate sequences like staging, transformations, data quality checks, and status updates to minimize manual interventions.

Actively performed monitoring and issue resolution using the integration monitor and task chain logs to ensure SLAs and data quality standards were met.

Created Finance & Sales dashboards in SAC on top of Datasphere models including KPIs like net revenue, open orders, overdue receivables.

Enabled cross-model reporting by linking models in SAC that were built on top of different Datasphere analytical models (e.g., Finance + Cost Center, Sales + Product Hierarchy).

Supported model optimization for performance, including view tuning, indexing, and avoiding circular joins in large datasets.

Prepared detailed Technical Specifications (TS) and Unit Test (TUT) documents for every flow/view/model created, ensuring traceability and handover readiness.

Collaborated with functional teams to validate data mappings and business logic across Salesforce and SAP domains.

Coordinated transports across environments (Dev QA Prod), validated post-move data, and resolved transport-related conflicts.

Participated in requirement gathering, solution design, peer code reviews, and UAT support to ensure delivery success.

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