Jobs at ScatterPie Analytics Private Limited

Designs, develops, and maintains SQL- and Python-based data pipelines and ETL processes. Performs data cleaning, validation, quality assurance, database optimization, and transformation of raw data into structured datasets for reporting and analytics. Processes data from databases, CSV, and Excel files, automates repetitive tasks, supports production troubleshooting, collaborates with stakeholders, and documents workflows.

Conduct market research, identify target companies and decision-makers, generate qualified B2B leads, and maintain accurate customer databases using spreadsheets or CRM tools. Support sales outreach by providing verified contact lists, tracking research activities, and updating lead statuses. The role requires strong internet research, analytical, communication, and organizational skills, with preferred knowledge of B2B market research, lead generation, customer database management, and LinkedIn research.

Designs, develops, and maintains scalable Azure-based data solutions. Builds ETL/ELT pipelines with Azure Data Factory, manages Blob Storage and ADLS, optimizes Azure SQL databases, and develops ingestion and transformation workflows. Monitors and troubleshoots production pipelines while implementing data quality, security, and governance practices. Collaborates with engineers, analysts, and stakeholders and supports deployment, maintenance, architecture discussions, and continuous improvement of cloud data platforms.

Designs, develops, and maintains Tableau dashboards and reports; connects multiple data sources; creates calculated fields, parameters, filters, and LOD expressions; optimizes performance and data accuracy; troubleshoots reporting issues; and collaborates with stakeholders and technical teams to deliver governed, data-driven insights.

Drive revenue growth by identifying new business opportunities, managing the full B2B sales cycle, building client relationships, closing deals, maintaining CRM pipeline forecasts, achieving revenue targets, and expanding existing accounts through upselling and cross-selling. Collaborate with presales and delivery teams to develop client solutions and proposals.

Designs, develops, and maintains scalable Azure-based data platforms. Builds ETL/ELT pipelines with Azure Data Factory, manages Blob Storage and ADLS, optimizes Azure SQL solutions, and develops data ingestion and transformation workflows. Monitors and troubleshoots production pipelines while implementing data quality, security, and governance practices. Collaborates with engineering, analytics, and business teams on cloud platform deployments, architecture discussions, and continuous improvement.

Identifies and develops new business opportunities through networking, market research, lead generation, and client outreach. Builds client relationships, conducts presentations and demonstrations, manages the full B2B sales cycle, prepares proposals and agreements, maintains CRM records, and achieves sales targets. Coordinates with internal teams to deliver suitable solutions while monitoring industry trends, competitors, and market movements.

Develop and maintain Power BI dashboards, reports, KPI visualizations, and optimized data models. Write complex SQL, stored procedures, DAX measures, calculated columns, and Power Query transformations. Integrate multiple data sources, support ETL and data warehousing, ensure data accuracy and security, troubleshoot BI solutions, and collaborate with stakeholders to deliver analytical insights.

Own the end-to-end B2B enterprise sales cycle, including prospecting, executive engagement, product demonstrations, proposal development, negotiation, and deal closing. Build account strategies, generate pipeline, maintain accurate forecasts, and serve as a trusted advisor on data, analytics, and AI solutions. Collaborate with pre-sales, delivery, product, legal, and finance teams while helping develop scalable sales processes.