Manager, Data Management & Analytics

Talkdesk-posted 5 months ago
Full-time
Hybrid • Palo Alto, CA
1,001-5,000 employees
Publishing Industries
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Talkdesk is searching for a Data Management & Analytics resource to join our Data and Integration team to help build the infrastructure, processes, and data tools that will allow our business to scale. This position is an on-site role, working from our Palo Alto office in a hybrid work environment. You will work closely with our business systems team and partners within each department at Talkdesk to provide data, reports, analyses, and decision support.

  • Primarily responsible for the efforts to analyze, clean, interpret, display, and organize data for internal business consumption.
  • Lead the Data Analytics operations team, responsible for the design, implementation, maintenance, and support of data warehouse systems and projects.
  • Build and support both historical and predictive data models that will be used across the organization.
  • Hands-on experience in development of data warehouse strategy, architecture and standards that meet business needs and in charge of collecting, analyzing and providing business data models and metrics.
  • Work with enterprise-wide business and IT senior management to understand and prioritize data governance and analytics requirements.
  • Technical expertise to collect and store data from different systems and ensure the quality and accuracy of the data, business process, design, and present it in ways to help people, businesses, and organizations make better decisions.
  • Collaborate with data stewards, programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Technical proficiency in database design development, data models, techniques for data mining, and segmentation.
  • Work with key stakeholders within the organization to develop requirements and implement solutions, including getting data loaded into the warehouse, developing data models, and developing dashboards.
  • Establish best practices and define standards for data management, ETL process, data integration, data warehousing, business intelligence, analytics and data governance.
  • Drive initiatives for data accuracy, reliability, usability, accessibility, and efficiency for BI and analytics applications.
  • Monitor the health and enable business users and departmental analysts to access data while ensuring the security of the data warehouse environment.
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics or related field.
  • A minimum of 10 years of Data Warehousing, Management and Analytics experience.
  • Mastery of SQL, stored procedures, tables, views, database administration.
  • Experience with ETL tools like Fivetran, Boomi, Airflow, DBT, etc.
  • Experience with BI data visualization tools like Looker, Domo, Tableau is required.
  • Experience with cloud data warehouse solutions like Hadoop, Snowflake, Trino, Iceberg, Redshift, BigQuery is a must.
  • Experience building predictive analytical models using statistical packages and techniques.
  • Experience monitoring data warehouse processes and troubleshooting issues.
  • Experience in Master Data Management, Data Stewardship, or Data Governance.
  • Excellent written and oral communication skills.
  • Familiarity with SOAP/REST APIs, flat files (JSON, XML, CSV, Parquet, etc.) and transforming data for ingestion into the data warehouse.
  • Familiarity with CRM and ERP applications and their underlying data structures including Salesforce, NetSuite, Zuora, and Workday.
  • Ability to translate between technical language and business language.
  • Ability to prioritize incoming requests and set expectations with stakeholders.
  • A self-motivated individual and able to manage one's own work to get projects over the finish line.
  • Project Management experience with agile project management methodologies.
  • Have experience working in an agile development environment.
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