Senior Ai Analyst

Impact Analytics TM Series D Funded delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics With a fully integrated end-to-end platform for planning forecasting merchandising pricing and promotions Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year s inputs to forecast and plan this year s business Powered by over one million machine learning models Impact Analytics has been leading AI innovation for a decade setting new benchmarks in forecasting planning and operational excellence across the retail grocery manufacturing and CPG sectors In 2025 Impact Analytics is at the forefront of the Agentic AI revolution delivering autonomous solutions that enable businesses to adapt in real time optimize operations and drive profitability without manual intervention The impact that you will be making The role would require you to give end-to-end support to the product development and analytics services teams and maintain a strong relationship with our clients What lands you in this role Prepare and transform complex datasets using advanced data wrangling cleansing and preprocessing techniques to ensure high-quality inputs for AI models products and analytics Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly Conduct in-depth exploratory data analysis EDA to uncover trends anomalies and actionable insights that inform business and AI model and product development Utilize Python and SQL extensively for data manipulation querying and deploying AI-driven analytical models and products Build intuitive dashboards and reports using Excel Tableau to visualize findings and model outcomes Translate complex machine learning model outputs into clear data-driven insights for both technical and non-technical stakeholders Collaborate closely with data scientists engineers and business teams to integrate AI solutions into operational workflows Contribute to the evaluation and optimization of statistical models and machine learning algorithms for high-impact business use cases Stay updated on emerging AI trends technologies and industry best practices to continuously improve product performance and scalability and product implementation efficiency Required Skills Qualifications 3 to 6 years of experience in AI analysis data science or related fields with a strong foundation in data preprocessing and statistical analysis Proficient in Python with libraries such as NumPy Pandas Scikit-learn and hands-on experience in complex code building and deployment Advanced proficiency in SQL for handling large-scale datasets efficiently Proficiency in hypothesis testing descriptive analytics using EDAs and AI ML techniques and familiarity with statistical modelling e g regression classification clustering Experience with Excel and Tableau for data visualization and storytelling Strong experience in data wrangling feature engineering and pipeline development for large scale datasets Familiarity with cloud platforms version control e g Git and collaborative development practices is a plus Exceptional analytical and problem-solving skills with attention to detail Experience with the retail and CPG industry is a plus Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making What we offer An opportunity to be part of some of the best enterprise SaaS products to be built Opportunities to quench your thirst for problem-solving experimenting learning and implementing innovative solutions A flat collegial work environment with a work hard play hard attitude A platform for rapid growth if you are willing to try new things without fear of failure Remuneration with best-in-class industry standards with generous health insurance cover Our accolades include Ranked 72 in America s Most innovative Companies list in 2023 alongside companies like Microsoft Tesla Apple IBM etc Ranked as one of America s fastest growing companies by Financial Times for four consecutive years 2020-2023 Ranked as one of America s fastest-growing private companies by Inc 5000 for Six consecutive years 2018-2023 Recognized in multiple Gartner reports including Market Guides and Hype Cycle spanning assortment merchandising forecasting algorithmic retailing and Unified Price Promotion and Markdown Optimization Applications Featured as one of top 25 ML startups to watch by Forbes in 2019 Ranked as one of North Americas fastest-growing technology companies by Deloitte for two consecutive years 2019 2020