78 applicants

Company

Talkdesk · 4 hours ago

Senior Manager, Business Intelligence and Data Analytics

Palo Alto, CA

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

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Cloud ComputingCRM

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Responsibilities

Overall responsibility for the 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.

Administers the Data Analytics operations team responsible for the design, implementation, maintenance, and support of data warehouse systems and projects.

Define the key business and operational KPI’s in partnership with various business and technology stakeholders.

Establish best practices and standards for data management, data integration, data warehousing, business intelligence, analytics and data governance.

Utilize business data to analyze performance and tie analytics to related systems and business events across all applications and products.

Work with enterprise-wide business and IT senior management to understand and prioritize data and analytics requirements.

Drive the vendor selection process for our data warehouse solution

Oversee the analytics function, including data analytics and data science and sets strategic priorities for the function, and identify new business opportunities based on data.

Proactively and regularly provide guidance on where and how analytics can generate business impact/value.

Drive initiatives for data accuracy, reliability, usability, accessibility, and efficiency for BI and analytics applications.

Monitor the health and enable business users to access data while ensuring the security of the data warehouse environment

Work with data engineers to guide development of ETL processes that move data between the various business applications and the warehouse

Work with key stakeholders within the organization to develop requirements and implement solutions, including getting data loaded into the warehouse and developing Snowflake data models and Tableau Dashboards.

Define standards for ETL processes, data structures, and data organization

Promote and evangelize the value of BI, and analytics to all levels of business units.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data WarehousingBusiness IntelligenceSQLBI data visualizationCloud data warehouseETL toolsNoSQL data structuresMaster Data ManagementData SciencePythonProject ManagementJavaScriptJavaSOAP/REST APIsSalesforceNetSuiteZuoraWorkdayAgile methodologies

Required

A minimum of 10 years of Data Warehousing / Business Intelligence experience.

Bachelor's degree in Computer Science, Information Technology, Data Analytics or Computer Engineering required.

Mastery of SQL, stored procedures, tables, views, database administration

Experience in vendor management, RFPs and budget management.

Experience with ETL tools like Fivetran, Boomi, Airflow, DBT, etc.

Demonstrated experience using multiple databases and tools and leading business intelligence, analytics or data visualization technologies.

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.

Extensive experience in operational data stores, NoSQL data structures and multidimensional data modeling such as star schemas, snowflakes, denormalized models.

Experience in Master Data Management, Data Stewardship, or Data Governance.

Deep understanding of data science, linear algebra, algorithms, and statistics.

In-depth knowledge of computer programming languages, such as Python, JavaScript, and Java.

Project Management experience with agile project management methodologies.

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; will serve as an interface between the business and the data we provide.

Ability to prioritize incoming requests and communicate well with stakeholders

A self-motivated and able to manage one’s own work to get projects over the finish line

Have experience working on an agile development team

Have experience implementing and running a cloud data warehouse solution and/or ETL process solutions

Thrive in a fast-paced environment