Sr. Analytics Engineer

 Collaborate with business stakeholders, analyze user requirements, and manage delivery of
scalable analytics solutions
 Leverage Tableau to create interactive Stories, dashboards, and visualizations to solve complex
business problems and strengthen decision-making capabilities among the senior leadership
teams
 Create compelling and dynamic BI visualizations that are intuitive and responsive for end-users
 Transform complex reporting needs into technical specifications, including calculations, custom
groups, parameters, filtering criteria, aggregations etc.
 Lead the exploration and analysis of large, complex datasets to identify trends, patterns, and
insights.
 Develop predictive models, machine learning algorithms and statistical analyses to solve
business problems like forecasting, customer segmentation etc.
 Implement data preprocessing and feature engineering techniques to prepare data for
modeling.
 Evaluate model performance and make necessary adjustments.
 Running meetings with all levels of stakeholders (executive leadership, VP, manager, IC) to
advance the organization’s highest-visibility analytics projects.
 Partner with business to design tableau KPI scorecards dashboards
 Conducting unit tests and developing database queries to analyze the effects and troubleshoot
any issues.
 Work with management and other business stakeholders to create dashboard prototypes.
 Support test case scenario’s and partner with UAT teams
 Design architecture for tracking key business metrics in real-time using Salesforce, Tableau and
other common B2B SaaS technologies.
 Reviewing the work of junior team members and providing thought leadership on approaches to
complex analytics and visualization requirements.
 Owning the validation, clean-up, and governance of data
 Own the creation and delivery of operational reports and executive dashboards used to drive
key business results.
 Develop and document standards/best practices for development and administration of the
Tableau
 Continuously seek improvements in all areas of reporting including, but not limited to, analysis,
data, tools, process, performance, and data quality.
 Troubleshoot data issues, validate result sets, recommend, and implement process
improvements.
 Research and understand trends in Business Intelligence visualization products.
 Work with team members to create and automate health reports to continuously monitor the
integrity of the data we touch
 Troubleshoot data issues related to reporting and database systems as they arise
 Lead tasks to monitor, analyze and improve reporting system performance, accuracy and
efficiency.
 Ensure consistency by adhering to a set of style rules and guidelines

QUALIFICATIONS:
 Ability to thrive in an extremely fast-paced environment
 University Bachelor’s Degree in computer science or software engineering
 A minimum 7 years of proven experience using statistical languages Python, R and SQL to
manipulate data and draw insights from large datasets.
 At least 4 years of experience building top-class visualizations using Tableau. Have a passion for
data visualization and are a champion for standard methodologies and data governance across
the company.
 Knowledge of a variety of machine learning techniques (classification, regression, clustering, and
forecasting) and their real-world applications.
 Knowledge of advanced statistical techniques and concepts (ex. regression, properties of
distributions, statistical tests, and proper usage, etc.) and experience with applications.
 Knowledge and experience in Text mining, social network analysis and Deep learning.
 Manage highly complex analytical projects from data exploration, model building, performance
evaluation & testing.
 Experience with creating data models for self- serve dashboards.
 Experience writing advanced and complex queries
 Excellent communication skills.