Data Analyst - AI/ML at Assent

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data visualization, Tableau, Sigma, Data discovery, Data inventory, Exploratory data analysis, Feature engineering, Data cleaning, Statistical techniques, Git, Data quality assurance, Cross-functional collaboration, Data governance, Cloud environments

Industry

Software Development

Description

Company Description Assent is the leading AI native platform for supply chain sustainability and compliance, trusted by complex manufacturers and distributors around the world. Built and backed by experts who have led global compliance programs, our unified platform combines advanced AI, regulatory expertise, and the world’s largest supply chain data network to help organizations reduce risk, lower operational costs, and build trust across every tier of the value chain. From human rights and responsible sourcing to PFAS reporting and Digital Product Passports, Assent transforms regulatory complexity into actionable insights that drive real business outcomes. With over 900 team members across India, North America, Malaysia, the EU, and Kenya and more than 1,000 customers globally, Assent brings together global perspective and deep domain expertise. Our hybrid work model enables teams to collaborate effectively across regions while staying connected to the communities where they live and work. As a certified B Corporation, we meet rigorous standards of social and environmental performance, transparency, and accountability. This reflects our commitment to building technology that drives business performance while creating long-term value for people and the planet. People First. Technology Forward. Our commitment to People, Culture & Community (PCC) is rooted in building a diverse, inclusive, and high-performing team. We recruit and retain team members with a range of backgrounds, experiences, and perspectives, while fostering a culture of belonging where all Assentees are respected, supported, and empowered to contribute. As we continue to embed AI into how we work, we do so thoughtfully, enhancing human potential, supporting better decision-making, and prioritizing appropriate oversight, privacy, and fairness. At Assent, we value your privacy and are committed to maintaining transparency in how we handle your personal information. As part of our talent acquisition and management processes, we may use AI technologies to support activities such as resume screening, candidate communication, and talent analytics. Job Description We are seeking a Data Analyst with strong SQL, Python, and data visualization skills to support Assent’s Data Science & AI initiatives. This role combines technical analysis with organizational knowledge-building. You will work with teams across the company to map out available data sources, understand how they are used, and consolidate this knowledge into a central inventory for the Data Science & AI team. In addition to being the go-to expert on where and how data lives within Assent, you will provide analysis, dashboards, and insights that accelerate model development, monitoring, and evaluation. This is a unique opportunity to shape the foundation of data-driven AI innovation at Assent. Key Requirements & Responsibilities Data Discovery & Knowledge Building: Interview teams across the organization to understand what data they use, where it resides, and how it is accessed. Data Inventory & Documentation: Build and maintain a central inventory of datasets, including metadata, ownership, quality checks, and access details. SQL & Python Analysis: Query, clean, and analyze datasets to support exploratory data analysis (EDA), model development, feature engineering, and validation. Apply data cleaning, transformation, and interpolation techniques to handle missing, inconsistent, or incomplete datasets, ensuring reliable downstream use. Insights & Dashboards: Develop reports and dashboards in Tableau, and Sigma to track data quality, dataset usage, and AI/ML performance metrics. Ad-hoc Support: Provide on-demand analyses to support AI/ML experiments, audits, and evaluations. Data Quality Assurance: Monitor and flag issues in data accuracy, completeness, and consistency. Develop methods to reconcile and connect disparate data points across systems to produce coherent, insight-ready datasets. Cross-Functional Collaboration: Serve as a bridge between business teams and the Data Science & AI group, ensuring smooth data access and knowledge transfer. Qualifications 3+ years of professional experience as a Data Analyst, BI Analyst, or in a similar analytical role. Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. Strong SQL expertise for querying and transforming large datasets. Proficiency in Python (Pandas, Polars, Dask, numpy, matplotlib/seaborn, Jupyter) for analysis and visualization. Experience with Git and version control for managing analytical code and ensuring reproducibility. Demonstrated ability to perform data cleaning, imputation/interpolation, and transformation at scale. Hands-on experience with exploratory data analysis (EDA) and statistical techniques. Experience integrating and connecting data from multiple sources to extract actionable insights. Experience using BI/reporting tools with Tableau, Sigma (Or similar tools like Power BI). Excellent communication and interviewing skills to engage with cross-functional teams and capture data knowledge effectively. Strong organizational skills to build and maintain a living data inventory. Understanding of AI/ML data workflows (feature engineering, model evaluation, monitoring) is a plus. Familiarity with data governance practices and cloud environments (AWS, Snowflake, Azure, or GCP) is an asset. Familiarity with feature stores for reusable AI/ML datasets is an asset. Additional Information Life at Assent Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more. Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more. Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives. Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start. At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs). Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success. If you require assistance or accommodation throughout any part of the interview and selection process, please contact [email protected] and we will be happy to help. We use AI to support parts of our recruitment process, such as note-taking and initial shortlisting based on job-related qualifications. AI does not make hiring decisions. All candidates will speak with a real person, and final decisions are always made by our recruitment team. Region: India

Responsibilities

The Data Analyst will build and maintain a central data inventory while providing insights, dashboards, and analysis to support AI/ML initiatives. They will serve as a bridge between business teams and the Data Science group to ensure data accessibility and quality.