Business Intelligence Manager, Blend

$148.8k

SQL

AWS

Tableau

Looker

Postgres

Excel

Power BI

Athena

Redshift

Snowflake

Oracle

Qlik

Alteryx

Mid and Senior level

Remote from US

More information about location

Business performance data & analytics

Be an early applicant

Business performance data & analytics

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Be an early applicant

$148.8k

SQL

AWS

Tableau

Looker

Postgres

Excel

Power BI

Athena

Redshift

Snowflake

Oracle

Qlik

Alteryx

Mid and Senior level

Remote from US

More information about location

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To help advance our understanding of our customers and business performance.

Job

Company

Role

Who you are

Master’s degree in data analytics, data science, computer science, or a closely related quantitative field plus 3 years of relevant professional experience
Alternatively, a Bachelor’s degree in data analytics, data science, computer science, or a closely related quantitative field plus 5 years of relevant professional experience
Regardless of degree level, relevant professional experience must include each of the following:
3 years of experience working with one of the following platforms: Tableau Desktop, Tableau server, Tableau Data Prep, Tableau CRM (Einstein Analytics), Power BI, Looker, ThoughtSpot, or Qlik
3 years of experience designing, developing, and enhancing BI reporting and data analytics solutions
3 years of experience in BI project management, including project planning and scoping
2 years of experience leading and mentoring junior technical project members
2 years of experience with one of the following databases: Amazon AWS Redshift, Snowflake, Amazon S3, Athena, Microsoft SQL, Oracle, Teradata, PostgreSQL, or Denodo Data Virtualization

What the job involves

Lead a Business Intelligence (“BI”) team of BI Engineers, Data Engineers, and Solution Strategists in client engagements, managing and providing guidance to ensure high-quality work
Partner with Product Owners and cross functional teams in a collaborative and agile environment
Perform routine testing of own and others work to guarantee accurate, complete processes that support business needs
Routinely monitor performance, diagnose and implement tuning/optimization and work with team partners on the architecture and supporting data structure to guarantee high-performance, scalable reporting solutions
Document data flows and technical designs to ensure compliance with organization, business and security best practices
Mentor junior BI analysts assigned to the project and be the BI point of contact with other cross-functional teams
Develop dashboard reports in Tableau, PowerBI, Looker, ThoughtSpot, or similar data visualization tools
Work with clients to understand business goals, methodology considerations, and timing for analysis and reporting work
Communicate with clients to understand data visualization and analytical requirements that support business objectives, and to identify KPIs and the underlying databases and data sources
Prepare “wireframes” to gain client agreement before developing the dashboard
Present analysis findings and insights to the client organization
Work with decisioning platforms and enterprise data in an enterprise data warehouse (“EDW”)/Analytics Sandbox environment
Connect to data in Microsoft Excel, Microsoft SQL Server, Teradata, Oracle, Amazon Redshift and other similar cloud-based and on-premises databases
Conduct data analysis using SQL and other BI tools
Write SQL queries to join, extract, and transform data from databases and other data sources so that the data can be used in BI visualization tools
Ensure data consistency by running quality checks and build a data mart with relevant data
Use ETL tools, such as Alteryx, to extract data

Our take

As large enterprises digitise at increasingly complex rates, data solutions and advanced analytics are becoming increasingly vital services. Bled360 is a data science solution provider helping these companies leverage the data they harness in transformative ways.

Consisting of data scientists and engineers, the company aids large enterprises in machine learning operations, AI integration and data governance. Overall, it helps to boost the efficiency of data usage.

Blend360 has also been strategically growing through the acquisition of SMEs, in part funded by its 2022 Growth Equity investment. Companies it has acquired include FutureproofAI, enhancing its service offerings and customer base. Its acquisition of Montevideo Labs also enhances its position in LatAm regions.