AVP Analytics/Data Engineer

Job Title: Deliver Leader – Analytics and Data Science

Department: Digital Services

Reports to: Vice President

Band: AVP

Kindly click on the link below to apply:

https://forms.office.com/r/zsjy1bD9yf

Main Purpose of job

We are looking for a dynamic leader qualified in solving problems with the power of analytics to join our Digital Services team. The Analytics and Data Science team is an integral part of our strategy to deliver superior value to our clients combined with the immense knowledge of the industries we operate in. As the leader for Analytics and Data science, you will be working with a team of highly motivated and insightful colleagues, in an entrepreneurial environment and play a crucial role in identifying, building and deploying analytics solutions that drive strategic goals of customers. This is an expanding team to deliver multi-million-dollar projects. You must have the ability to collaborate across various business segments within the organization to drive change and deliver value.

Key responsibilities:

· Have the experience and expertise in leveraging analytics for prediction and forecasting, data analysis, visualization with various sources – predominantly image and text data

· Collaborate with cross-functional teams to support solutioning for proposals, planning and execution of programs.

· Establishing credibility by thought partnering with pre-sales and customer teams on analytics topics

· Communicating analytical insights through sophisticated synthesis and packaging of results (including PowerPoint presentation, Documents, dashboard and charts)

· Support build collateral of documents to enhance core capabilities and supporting reference for internal documents

· Ability to support business development activities (proposals, etc.) and build sales collateral to generate leads

· Contributes to team's content & IP development; Mentor team on analytical methodologies and platforms and help in quality checks; Plan training needs of teams and work with corresponding teams to ensure training programs are delivered.

· Develop and implement analytics strategies, frameworks, and best practices to ensure accurate data collection, analysis, and reporting.

· Define and document data governance policies and procedures to ensure data quality, security, and compliance with regulations.

· Conduct regular audits and assessments of analytics implementations, identifying gaps, errors, and opportunities for improvement.

· Define and track key performance indicators (KPIs) and metrics to measure the success of digital marketing campaigns and website performance.

· Stay updated with emerging trends and advancements in web analytics and data architecture, recommending and implementing innovative solutions to enhance analytics capabilities.

Technical skills:

· Strong proficiency in statistics (concepts & methodologies like hypothesis testing, sampling, etc.) and its application & interpretation

· Hands-on data mining and predictive modeling experience (Linear Regression, Clustering (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees), Timeseries (SARIMAX) etc.

· Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML, Databricks etc.)

· At least one tool in each category:

o Programming language - Python (Must have), (R Or SAS OR PySpark), SQL (Must have)

o Data Visualization (Tableau, QlikView, Power BI, Streamlit) ,

o Data management (using Alteryx, MS Access, or any RDBMS)

o ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)

o Version Control (Git/Github/Git Lab)

o MS Office (Excel, PowerPoint, Word)

o Coding IDE (VS Code/PyCharm)

o Nice to have:

§ Big data technologies (Hadoop ecosystem, Spark)

§ Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)

§ GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)

Experience

· Proven experience (15+ years) in analytics, ML, BI, AI and data modeling.

· Strong understanding of data analytics tools and technologies, tools, and best practices, hands-on experience in applying appropriate analytics techniques to build statistical models, including handling of all pre- and post-modeling deliverables

· Working knowledge of Python and SQL. Hands-on knowledge of any of the visualization tools amongst Power BI/Tableau

· Experience across structured and unstructured data (text) leveraging classification, regression, unsupervised, NLP and other techniques

· Excellent problem-solving and analytical skills, with the ability to think strategically and provide data-driven insights.

Desired requirements:

· Exposure to Process Mining platforms, concepts

· Experience in working with Operations and business teams in a BPO environment.