Cognizant Walk In Drive On 13th Jan 2024

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Job description:

Working directly with Merchandising Analytics analysts to constantly improve the end user experience of our reporting environment and ensure that data visualization best practices are effectively applied across the entire reporting suite.

Partnering with Business Intelligence and Enterprise Data warehouse teams to ensure data pipelines are optimized for performance and adhere to strict data governance standard. Partnering with Business Leaders and other key stakeholders to deliver a reporting repository that delivers timely, accurate, and actionable insights that drive strategy and decision making.

The ideal candidate will demonstrate exemplary skills in retrieving and analyzing data sets with millions of records and is highly proficient in SQL, Excel and Tableau. They will have proven experience creating metrics and dashboards using customer, marketing, ecommerce, and financial metrics. In addition to a strong analytics background, this individual will have the ability to apply data visualization techniques that present abstract and complex topics in a clear and concise manner.

Roles & Responsibilities:

• Partner with analytics, data engineering, and BI teams to develop and QA new data tables and data sources across multiple platforms.
• Partner with business leaders and report end-users to continuously improve the Tableau experience and ensure that KPIs are both actionable and insightful.
• Support the Sr. Manager of Enterprise BI in developing and maintaining strict data governance standards in both Tableau and underlying data sources.
• Develop and maintain reusable SQL scripts that can source multiple business cases and reporting needs.
• Support the development and creation of insightful and intuitive Tableau dashboards using multiple data sources, parameters, and measures.
• Perform complex analyses on customer behavior, marketing mix, and funnel performance by leveraging data sets with millions of records from multiple systems.
• Partner with various analytics teams to scope and build scalable, self-service reporting for cross-functional stakeholders.
• Partner with stakeholders to construct and prioritize product release roadmaps using JIRA, Confluence, and other workflow management and documentation tools.

Required Qualification:

• Bachelors degree in Math, Statistics, Economics, Finance, Information Management or a related degree with analytical emphasis.
• Experience working directly with business analysts or business sponsors to gather and validate functional requirements and translate to report design specifications.
• 2+ years of directly related work experience analyzing customer, marketing, and ecommerce data and building metrics decks and dynamic dashboards.
• 3+ years of advanced tableau experience, including sourcing data directly from DBMS servers (Vertica, Snowflake, Redshift, Azure, etc), using complex table functions, dynamic filters and parameters, and optimizing end user experience through effective dashboard design.
• Intermediate to advanced proficiency in SQL, Excel, and statistics.
• Strong understanding of customer behavior, marketing, and ecommerce metrics.
• Strong understanding of data warehousing and relational or columnar database structure.
• High degree of proficiency executing complex and large-scale data analyses across millions of records.
• Working understanding of Financial KPIs and P&L statement.
• Proven experience delivering high quality results on tight timelines.
• Superior attention to detail and experience creating mechanisms to monitor data integrity.
• Ability to operate in ambiguous environments with speed and commitment to quality.
• Ability to travel up to 10% of the time
• Business Management experience with an emphasis on financial management, sales, or marketing/ecommerce.
• Baseline knowledge of machine learning packages with an emphasis on regression and classification models, time series analysis, NLP, and unsupervised clustering algorithms.
• Advanced technical skills using Python, R, Knime or other advanced analytics applications.
• Masters or equivalent advanced academic degree