EXL
Overview
We are seeking a skilled Analytics Consultant with over 4 years of experience in data analytics. The candidate should bring an IntermediateAdvanced technical skillset in Python, Advanced SQL, and statistical analysis, along with the ability to summarize findings on disparate unstructured data from varied sources. Experience in Entity Resolution/Matching (de-duplication, fuzzy matching, record linkage, etc.) is preferred. The role involves deriving insights, identifying anomalies/outliers, and presenting complex analyses to key business stakeholders (Excel/PPT). Key Responsibilities
Perform deep dive analyses of the existing commercial database to identify gaps in vendor ingestion, data quality, matching, and entity resolution. Develop enhancements to matching and BER logic. Develop ROI-based frameworks to evaluate new vendor data and create robust arbitration logic for existing third-party sources. Use SQL and Python for data extraction, cleaning, and analysis to provide actionable insights from various data sources. Prepare and present detailed reports, dashboards, and insights to senior management and executives, distilling complex data into clear and actionable recommendations. Qualifications
Bachelors or Masters degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field. 4+ years of work experience in data science or a similar data-driven role. 3rd party B2B data experience (e.g., use of D&B, CapIQ, Equifax) preferred. Strong proficiency in Python for data analysis, statistical modeling, and machine learning (e.g., pandas, scikit-learn, statsmodels, NumPy). Hands-on experience with SQL for querying and manipulating large datasets. Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) and tools (e.g., Tableau, Power BI) for sharing insights. Proven ability to translate complex data into clear, actionable insights. Strong problem-solving skills and attention to detail. Excellent communication skills both written and verbal with the ability to present findings to non-technical stakeholders. Seniority level
Mid-Senior level Employment type
Full-time
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We are seeking a skilled Analytics Consultant with over 4 years of experience in data analytics. The candidate should bring an IntermediateAdvanced technical skillset in Python, Advanced SQL, and statistical analysis, along with the ability to summarize findings on disparate unstructured data from varied sources. Experience in Entity Resolution/Matching (de-duplication, fuzzy matching, record linkage, etc.) is preferred. The role involves deriving insights, identifying anomalies/outliers, and presenting complex analyses to key business stakeholders (Excel/PPT). Key Responsibilities
Perform deep dive analyses of the existing commercial database to identify gaps in vendor ingestion, data quality, matching, and entity resolution. Develop enhancements to matching and BER logic. Develop ROI-based frameworks to evaluate new vendor data and create robust arbitration logic for existing third-party sources. Use SQL and Python for data extraction, cleaning, and analysis to provide actionable insights from various data sources. Prepare and present detailed reports, dashboards, and insights to senior management and executives, distilling complex data into clear and actionable recommendations. Qualifications
Bachelors or Masters degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field. 4+ years of work experience in data science or a similar data-driven role. 3rd party B2B data experience (e.g., use of D&B, CapIQ, Equifax) preferred. Strong proficiency in Python for data analysis, statistical modeling, and machine learning (e.g., pandas, scikit-learn, statsmodels, NumPy). Hands-on experience with SQL for querying and manipulating large datasets. Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) and tools (e.g., Tableau, Power BI) for sharing insights. Proven ability to translate complex data into clear, actionable insights. Strong problem-solving skills and attention to detail. Excellent communication skills both written and verbal with the ability to present findings to non-technical stakeholders. Seniority level
Mid-Senior level Employment type
Full-time
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