Expert Data Analyst for Sales Planning Platform

@vishal1145

Your sales lift models will produce garbage if your reference datasets don't account for cannibalization between promotion types. I've seen planning platforms fail because teams assume every discount drives incremental sales - when in reality, BOGO promotions often just shift volume from full-price weeks. Before building your validation framework, I need clarity on two things: What's your current data latency between POS systems and the warehouse - are we working with T+1 or weekly batch loads? And does your syndicated data include store-level granularity, or are you aggregating at market level? This determines whether we can calculate true velocity metrics or need proxy indicators. Here's the analytical approach: - PYTHON + SQL: Build automated data profiling pipelines that flag anomalies in real-time - missing SKUs, negative inventory, or velocity spikes above 3 standard deviations. This catches feed issues before they corrupt planning outputs. - SALES LIFT MODELING: Create category-specific lift curves using historical promo data, controlling for seasonality and competitive activity. I've built similar models that improved forecast accuracy from 68% to 84% MAPE. - EXCEL REPORTING FRAMEWORKS: Design structured templates with dynamic tables and slicers that let planners drill from chain-level WOS down to store-SKU sell-through without rebuilding pivots every week. - PREDICTIVE MODEL CALIBRATION: Implement backtesting routines that compare actuals vs. plan across promotion types, then feed residual patterns back into model training to reduce systematic bias. I've spent 8 years analyzing retail data for CPG brands - including building promo effectiveness models that quantified $12M in wasted trade spend. I don't just run queries; I identify why your plan-to-actual variance spiked in Q3 and what it means for next quarter's allocation. Quick question - are you currently using any specific BI tools for stakeholder dashboards, or is everything Excel-based right now? Let's schedule a brief call to walk through your current data flow before finalizing the validation architecture.

@mayankinnovative

Hi, As per my understanding: You need a Data Analyst to support a Retail Sales Planning Platform by ensuring high data quality, building key planning metrics (sales velocity, WOS, sell-through), and enabling accurate, explainable insights for decision-making. The role also involves validating cloud data pipelines, supporting predictive model calibration, and translating analytical outputs into business-friendly insights. Implementation approach: I will start by auditing and validating incoming data from the warehouse using SQL/Python to detect anomalies and ensure consistency. Then, I’ll design reusable metric frameworks (WOS, velocity, coverage) and automate reporting outputs. I’ll build reference datasets for promotion-based sales lift and analyze historical data for effectiveness. For model support, I’ll monitor prediction vs actuals, identify biases, and refine inputs. Additionally, I’ll generate structured insights and dashboards to clearly communicate findings to stakeholders, ensuring alignment with planning goals. A few quick questions: 1. Which cloud warehouse are you using (Snowflake, BigQuery, etc.)? 2. Do you already have defined schemas for planning metrics? 3. What tools are preferred for reporting (Excel, BI tools)?

@KarthikTechCon

Hello, I’m Karthik with 15+ years of experience in Data Engineering, Analytics, and building retail/data platforms on cloud ecosystems. Your requirement for a **data analyst embedded in a retail sales planning platform** aligns closely with my experience in **data validation, KPI modeling, and predictive analytics support**. **How I Can Help** * Validate & profile large retail datasets (SQL + Python) * Build robust data quality checks, anomaly detection & monitoring * Develop key planning metrics: Sales Velocity, WOS, Sell-through, Coverage * Create reusable reporting layers (Excel/BI) for planning teams * Support model calibration, bias detection & performance tracking * Analyze promotions & sales lift using historical datasets **Technical Stack** SQL | Python (Pandas) | Excel (advanced) | Power BI | AWS/Azure/Snowflake/BigQuery **Approach** Audit Data → Clean & Validate → Build Metrics Layer → Reporting → Model Support → Insights **Experience** * Delivered retail analytics & demand planning solutions * Built data pipelines and KPI dashboards for sales optimization * Strong collaboration with product, engineering & business teams **Availability** Comfortable with 1 PM – 10 PM IST overlap **Timeline** Can start immediately; deliver quick insights within first week I can share relevant retail analytics work samples and approach details. Warm Regards, Karthik Resonite Technologies

@GobindSawarn

Building a reliable, user-friendly Retail Sales Planning Platform requires someone who can turn your ideas into practical solutions. That's where I come in. With over 3 years of experience, I have a deep understanding of retail analytics, data validation and performance benchmarking that will be valuable to your project. My familiarity with syndicated retail and market data aligns well with your requirement to analyze competitor data and identify planning opportunities. Additionally, my proficiency in SQL and Python combined with my experience working with cloud data warehouses makes me well-equipped to handle large datasets efficiently, compute and maintain the core retail planning metrics you need such as sales velocity and sell-through rates, build and maintain reference datasets for sales lift estimates, support calibration and continuous improvement of predictive models. But what sets me apart is not just my technical expertise but also my ability to communicate complex analytical findings in a clear, plain-language manner for all stakeholders involved in planning output. You need someone who not only understands the technology but also appreciates the business aspect of your platform. I believe I am that person for you. Let's hop on a call to discuss how we can take this project forward.

@echekwa

Dear client, With over 4 years of experience in retail and trade marketing analytics, I am well-positioned to support your Sales Planning Platform development. I have worked extensively with cloud data warehouses, profiling and validating retail sales data feeds to ensure analytical rigor. I am highly proficient in SQL for data extraction and validation, Python for scalable analysis and model support, and Advanced Excel for structured reporting. My background includes computing core retail metrics—sales velocity, weeks of supply, store coverage, and sell-through rates—as well as building reference datasets for promotional lift analysis. I have experience supporting predictive planning models, identifying anomalies, and replacing proxies with measured actuals as historical data matures. I communicate complex findings clearly to cross-functional teams and am comfortable working within US-aligned hours (1:00 PM – 10:00 PM IST). I am available to embed with your delivery team immediately and can provide steady, reliable support throughout the engagement. Best regards, Chijioke

@rajeshrolen

Hello, Are you looking to enhance your Retail Sales Planning Platform with accurate data validation, performance benchmarking, and predictive planning models? Look no further! With a strong background in retail analytics and proficiency in SQL, Python, and cloud data warehouses, I am well-equipped to support the development of your platform. I understand the importance of validating and monitoring retail sales data feeds, maintaining core planning metrics, and analyzing promotional effectiveness. By collaborating closely with your team, I will ensure that the planning outputs are not only accurate but also actionable. My unique selling points include clear and responsive communication, a commitment to quality, and reliable post-launch support. You can check out my portfolio here: https://www.freelancer.com/u/rajeshrolen Let's discuss how I can contribute to the success of your Retail Sales Planning Platform. Feel free to open a chat with me to explore this opportunity further. Sincerely, Rajesh Rolen