Mid-Level Data Analyst - Sales & Commercial #2527 Position Summary: This is a hands-on opportunity to become the primary data partner to commercial, sales, and distribution teams inside a legacy-heavy enterprise actively modernizing its analytics foundation. You'll join a global BI team working to shift from Excel-based, reactive reporting to scalable, governed, cloud-native insights built on Power BI, Databricks, and a centralized data lake architecture. Day-to-day, you’ll engage directly with business stakeholders to translate ad hoc and recurring reporting needs into clean, validated outputs using SAP data sources (SD, MM, FI). You’ll help triage and prioritize requests, map SAP structures into usable models, and ensure decision-ready insights are delivered without compromising on governance or accuracy. This role sits at the intersection of hands-on reporting execution and long-term data product strategy. Experience and Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field 5+ years of experience years in data analytics, preferably in a commercial, distribution, or sales operations environment Prior experience building Power BI dashboards and handling ad hoc reporting requests Experience analyzing and modeling data from SAP systems (ideally SD, MM, FI modules) Worked in or with organizations in manufacturing, logistics, or supply chain domains Comfortable supporting both executive-level and field-level stakeholders Exposure to data lake architectures or Databricks-based workflows Skills and Strengths: Power BI SQL SAP SD SAP MM SAP FI Sales Analytics Commercial Analytics Ad Hoc Reporting Data Storytelling Stakeholder Engagement Data Validation Advanced Excel Data Modeling Requirements Gathering KPI Development Distribution Analytics Logistics Analytics Data Governance Data Quality Data Lake Usage Root Cause Analysis Report Performance Tuning Primary Job Responsibilities: Deliver accurate and timely reporting to support commercial and sales teams Build and maintain Power BI dashboards using centralized, governed data sources Analyze SAP data structures to support pricing, order management, and distribution insights Partner directly with business stakeholders to define reporting needs and priorities Respond quickly to ad hoc requests with data-backed answers Validate data accuracy and trace logic across systems Document calculations, filters, and assumptions for reuse and consistency Participate in sprint planning with the BI Lead to manage backlog and prioritize work Support efforts to consolidate and standardize KPIs across the org Raise upstream data quality issues and collaborate with engineering as needed Contribute to the evolution from reactive reporting to proactive, scalable analytics
Sr. Data Analyst – Finance #2525 Position Summary: Our partner is a global manufacturing and services company modernizing its finance analytics foundation replacing Excel with Power BI, integrating SAP ECC/S4 data, and building a scalable reporting layer across Finance. They’re looking for a finance-savvy Data Analyst to own core reporting and forecasting models automating month-end close, building DAX-driven dashboards, and analyzing margin, spend, and cost structures at scale. You’ll partner closely with FP&A and work inside a BI team that’s moving fast on Databricks, Power Platform, and governed data modeling. If you’ve worked in ERP-heavy environments, understand financial reporting structures (CO-PA, cost centers), and build with both speed and structure in mind this is a high-impact seat with strong visibility. Experience and Education: Bachelor’s degree in Finance, Accounting, Economics, or a related field 5+ years of experience in FP&A, financial analysis, or data-driven Finance roles Experience working with ERP-based financial data (SAP ECC or S/4HANA preferred) Background in manufacturing, distribution, or multi-entity environments Proven ability to partner with FP&A and cross-functional teams Hands-on history with month-end close, budget vs. actual tracking, or cost modeling Prior experience transitioning teams from Excel-based reporting to BI platforms Skills and Strengths: Power BI DAX SQL Financial Modeling Forecasting Cost Analysis Variance Analysis Margin Analysis SAP ECC SAP S/4HANA Power Query Data Visualization ETL KPI Design Ad Hoc Reporting CO-PA Budget Tracking Executive Reporting Stakeholder Communication Advanced Excel Primary Job Responsibilities: Automate and maintain Finance reporting workflows using Power BI Build and refine forecast models across revenue, COGS, opex, and capex Analyze gross margin and cost drivers (labor, freight, materials, overhead) Deliver standardized P&L, variance, and KPI dashboards used by FP&A and execs Support the shift from Excel-based to governed, scalable BI tools Partner with cross-functional stakeholders to translate financial needs into usable data outputs Conduct ad hoc analysis to answer time-sensitive finance questions Ensure consistency and quality of SAP-derived financial data used in reporting Identify process gaps or reporting inefficiencies and drive improvements
Position Summary: Our partner is building a high-performance analytics team to enable real-time, cross-functional decisions across supply chain, finance, and operations. This opportunity sits at the core of that initiative, helping unify and modernize reporting across a fragmented ERP environment with hands-on analytics delivery. As a Supply Chain Data Analyst, you’ll work directly with stakeholders in planning, logistics, procurement, and inventory management to turn operational chaos into clarity modeling and transforming ERP data (SAP ECC/S4) using SQL and Power BI. You'll build analytical layers that sit on top of a growing Microsoft Fabric and Databricks platform, supporting both ad hoc firefighting and long-term data product standardization. This is a strong fit for someone who’s been the go-to analytics lead in a reactive, complex data environment and who’s ready to help architect the long-term solution while still delivering immediate business value. Experience and Education: Bachelor's degree in Computer Science, Engineering, Business, or related field 5+ years in a business intelligence, analytics, or reporting role Background working with ERP-driven data (SAP ECC or S/4HANA strongly preferred) Prior experience in a manufacturing, distribution, or supply chain-driven business Experience collaborating directly with operations or supply chain stakeholders Hands-on work supporting both recurring and ad hoc reporting needs Familiarity with modern data platforms (e.g., Databricks, Microsoft Fabric), a plus Skills and Strengths: Power BI DAX SQL Inventory Analytics Procurement Reporting Demand Planning Analysis ERP Data Modeling SAP ECC SAP S/4HANA Data Cleansing Ad Hoc Reporting Data Visualization Stakeholder Communication Business Requirements Gathering Dimensional Modeling ETL Concepts Report Automation KPI Development Microsoft Excel Microsoft Fabric Primary Job Responsibilities: Design and build Power BI dashboards to monitor inventory, procurement, and logistics metrics Work directly with supply chain and planning stakeholders to gather requirements Write SQL queries to extract and model ERP data for reporting and analysis Support high-priority ad hoc analysis requests with quick-turnaround deliverables Translate manual Excel workflows into scalable, automated reporting Collaborate with the BI Lead to standardize KPIs and enforce reporting best practices Cleanse, validate, and govern data to ensure accurate single-source-of-truth outputs Help define and evolve data models across SAP and other source systems Maintain and improve existing reporting assets based on business feedback Work within sprint planning structures to prioritize and align deliverables Contribute to the broader modernization of Sonny’s analytics platform and practices
As a Supply Chain Data Analyst, you will be an integral part of our partner's high-performance analytics team, focused on facilitating real-time, cross-functional decisions within the supply chain, finance, and operations domains. This role is pivotal in the initiative to streamline and modernize reporting within a complex ERP landscape by actively engaging in analytics delivery. Working in close collaboration with stakeholders from planning, logistics, procurement, and inventory management, you will play a critical role in transforming operational complexities into actionable insights. Leveraging your expertise in SQL and Power BI, you will be responsible for modeling and reshaping ERP data (specifically SAP ECC/S4) to drive informed decision-making. The ideal candidate for this role should possess a Bachelor's degree in Computer Science, Engineering, Business, or a related field, along with a minimum of 5 years of experience in business intelligence, analytics, or reporting. An essential requirement is previous exposure to ERP-driven data, with a strong preference for experience with SAP ECC or S/4HANA. Prior engagement in manufacturing, distribution, or supply chain-oriented environments, coupled with hands-on experience in supporting both recurring and ad hoc reporting needs, will be advantageous. Familiarity with modern data platforms like Databricks and Microsoft Fabric is considered a plus. Your proficiency in tools and technologies such as Power BI, DAX, SQL, and Excel will be instrumental in your day-to-day responsibilities. You will be tasked with designing and developing Power BI dashboards to track key metrics related to inventory, procurement, and logistics. Collaborating closely with supply chain and planning stakeholders, you will gather requirements and utilize SQL queries to extract and model ERP data for reporting purposes. Additionally, you will be expected to respond to urgent ad hoc analysis requests, automate manual reporting workflows, and contribute to the standardization of KPIs and reporting practices. Furthermore, your role will involve data cleansing, validation, and governance activities to ensure the accuracy and reliability of reporting outputs. You will also contribute to defining and enhancing data models across SAP and other source systems while continuously improving existing reporting assets based on feedback. Your participation in sprint planning processes will aid in prioritizing and aligning deliverables, thus contributing to the overall modernization efforts of the analytics platform. In summary, as a Supply Chain Data Analyst, you will play a pivotal role in transforming raw data into actionable insights, supporting stakeholders in making informed decisions, and contributing to the continuous enhancement of our partner's analytics platform.,
Data Engineer - Data Modeling/SAP Integration Position Summary: Our partner, a leading manufacturing and distribution company, is rebuilding its data architecture by integrating 13+ legacy ERP systems, including SAP, into a cloud-native lakehouse environment using Databricks. This is a hands-on opportunity for a data engineer who can model ERP data the right way. You'll design validated, business-aligned data layers, sales orders, invoices, inventory, procurement, and structure them for downstream analytics and reporting. You'll work in a modern stack (Databricks, Python, SQL, GitHub, CI/CD) and collaborate closely with analysts, BI leads, and stakeholders to turn messy SAP data into governed, reusable data products. You'll be expected to understand how ERP data maps to real business flows, not just how tables join. If you’ve built bronze-silver-gold pipelines and know how to turn chaotic SAP data into usable models without needing perfect specs, you’ll make an immediate impact here. Experience and Education: 5+ years working in data engineering or analytics engineering roles Hands-on experience modeling data from SAP or other ERP systems Prior work building or supporting data marts for analytics/reporting Exposure to business domains like supply chain, commercial, or finance Experience in cloud-native data environments (Databricks preferred) Familiarity with modern dev workflows (CI/CD, GitHub, Agile) Skills and Strengths: SAP data modeling ERP systems understanding Python SQL Data marts Databricks Source-to-target mapping Data validation Cloud data platforms CI/CD pipelines GitHub Data warehousing Data discovery Inventory & sales order modeling Business process comprehension Ad hoc analysis support Bronze/Silver/Gold layer design Agile collaboration Jira Data pipeline troubleshooting Primary Job Responsibilities: Model and consolidate SAP and ERP data for analytics use Partner with analysts to define usable, business-aligned data products Build and maintain pipelines in Databricks (bronze/silver/gold layers) Validate data outputs against ERP systems to ensure accuracy Structure data marts that support domains like sales, supply chain, and finance Contribute to architecture and standardization of enterprise datasets Document model logic and ensure reproducibility Work with GitHub and CI/CD workflows to manage code and releases Collaborate with US- and India-based teams in an Agile environment Support the shift from ad hoc data pulls to governed, scalable solutions
Sr. Data Analyst – Finance #2525 Position Summary: Our partner is a global manufacturing and services company modernizing its finance analytics foundation replacing Excel with Power BI, integrating SAP ECC/S4 data, and building a scalable reporting layer across Finance. They’re looking for a finance-savvy Data Analyst to own core reporting and forecasting models automating month-end close, building DAX-driven dashboards, and analyzing margin, spend, and cost structures at scale. You’ll partner closely with FP&A and work inside a BI team that’s moving fast on Databricks, Power Platform, and governed data modeling. If you’ve worked in ERP-heavy environments, understand financial reporting structures (CO-PA, cost centers), and build with both speed and structure in mind this is a high-impact seat with strong visibility. Experience and Education: Bachelor’s degree in Finance, Accounting, Economics, or a related field 5+ years of experience in FP&A, financial analysis, or data-driven Finance roles Experience working with ERP-based financial data (SAP ECC or S/4HANA preferred) Background in manufacturing, distribution, or multi-entity environments Proven ability to partner with FP&A and cross-functional teams Hands-on history with month-end close, budget vs. actual tracking, or cost modeling Prior experience transitioning teams from Excel-based reporting to BI platforms Skills and Strengths: Power BI DAX SQL Financial Modeling Forecasting Cost Analysis Variance Analysis Margin Analysis SAP ECC SAP S/4HANA Power Query Data Visualization ETL KPI Design Ad Hoc Reporting CO-PA Budget Tracking Executive Reporting Stakeholder Communication Advanced Excel Primary Job Responsibilities: Automate and maintain Finance reporting workflows using Power BI Build and refine forecast models across revenue, COGS, opex, and capex Analyze gross margin and cost drivers (labor, freight, materials, overhead) Deliver standardized P&L, variance, and KPI dashboards used by FP&A and execs Support the shift from Excel-based to governed, scalable BI tools Partner with cross-functional stakeholders to translate financial needs into usable data outputs Conduct ad hoc analysis to answer time-sensitive finance questions Ensure consistency and quality of SAP-derived financial data used in reporting Identify process gaps or reporting inefficiencies and drive improvements
As a Data Engineer specializing in Data Modeling and SAP Integration, you will play a crucial role in rebuilding the data architecture of a leading manufacturing and distribution company. This exciting opportunity involves integrating over 13 legacy ERP systems, including SAP, into a cloud-native lakehouse environment using Databricks. Your main responsibility will be to model ERP data effectively, design validated data layers for various business functions such as sales orders, invoices, inventory, and procurement, and structure them to enable downstream analytics and reporting. Working with a modern tech stack including Databricks, Python, SQL, GitHub, and CI/CD, you will collaborate closely with analysts, BI leads, and stakeholders to transform messy SAP data into governed, reusable data products. Your expertise in building bronze-silver-gold pipelines and ability to create usable models from complex SAP data will make a significant impact in this role. To excel in this position, you should have at least 5 years of experience in data engineering or analytics engineering roles, hands-on experience in modeling data from SAP or other ERP systems, and prior experience in building or supporting data marts for analytics and reporting. Exposure to business domains like supply chain, commercial, or finance, familiarity with cloud-native data environments (particularly Databricks), and knowledge of modern development workflows such as CI/CD, GitHub, and Agile practices are also desirable. Your skills and strengths should include expertise in SAP data modeling, understanding of ERP systems, proficiency in Python and SQL, experience with data marts, Databricks, source-to-target mapping, data validation, cloud data platforms, CI/CD pipelines, GitHub, data warehousing, data discovery, inventory and sales order modeling, business process comprehension, ad hoc analysis support, bronze/silver/gold layer design, Agile collaboration, Jira, and data pipeline troubleshooting. As part of your primary job responsibilities, you will be tasked with modeling and consolidating SAP and ERP data for analytical purposes, collaborating with analysts to define usable data products aligned with business needs, building and maintaining pipelines in Databricks with bronze/silver/gold layers, validating data outputs for accuracy against ERP systems, structuring data marts to support various business domains, contributing to architecture and standardization of enterprise datasets, documenting model logic for reproducibility, working with GitHub and CI/CD workflows for code management and releases, collaborating with teams in the US and India within an Agile environment, and supporting the transition from ad hoc data pulls to governed, scalable solutions.,
Data Engineer - Data Modeling/SAP Integration Position Summary: Our partner, a leading manufacturing and distribution company, is rebuilding its data architecture by integrating 13+ legacy ERP systems, including SAP, into a cloud-native lakehouse environment using Databricks. This is a hands-on opportunity for a data engineer who can model ERP data the right way. You'll design validated, business-aligned data layers, sales orders, invoices, inventory, procurement, and structure them for downstream analytics and reporting. You'll work in a modern stack (Databricks, Python, SQL, GitHub, CI/CD) and collaborate closely with analysts, BI leads, and stakeholders to turn messy SAP data into governed, reusable data products. You'll be expected to understand how ERP data maps to real business flows, not just how tables join. If you’ve built bronze-silver-gold pipelines and know how to turn chaotic SAP data into usable models without needing perfect specs, you’ll make an immediate impact here. Experience and Education: 5+ years working in data engineering or analytics engineering roles Hands-on experience modeling data from SAP or other ERP systems Prior work building or supporting data marts for analytics/reporting Exposure to business domains like supply chain, commercial, or finance Experience in cloud-native data environments (Databricks preferred) Familiarity with modern dev workflows (CI/CD, GitHub, Agile) Skills and Strengths: SAP data modeling ERP systems understanding Python SQL Data marts Databricks Source-to-target mapping Data validation Cloud data platforms CI/CD pipelines GitHub Data warehousing Data discovery Inventory & sales order modeling Business process comprehension Ad hoc analysis support Bronze/Silver/Gold layer design Agile collaboration Jira Data pipeline troubleshooting Primary Job Responsibilities: Model and consolidate SAP and ERP data for analytics use Partner with analysts to define usable, business-aligned data products Build and maintain pipelines in Databricks (bronze/silver/gold layers) Validate data outputs against ERP systems to ensure accuracy Structure data marts that support domains like sales, supply chain, and finance Contribute to architecture and standardization of enterprise datasets Document model logic and ensure reproducibility Work with GitHub and CI/CD workflows to manage code and releases Collaborate with US- and India-based teams in an Agile environment Support the shift from ad hoc data pulls to governed, scalable solutions