Business Intelligence Specialist creates reports, visualizations, dashboards, and metrics that provide business insight and aid business decision-making. Uses querying languages like SQL, scripting languages like R or Python, and other tools like Tableau or Excel to produce reports and perform meaningful quantitative or qualitative analyses addressing impactful business issues or questions. Being a Business Intelligence Specialist combines these reports with subject-matter expertise to deliver coherent, insightful takeaways and advice. Collaborates with project stakeholders to better understand valuable objectives and KPIs and to design relevant reports and dashboards. Additionally, Business Intelligence Specialist requires a bachelor's degree. Typically reports to a supervisor or manager. The Business Intelligence Specialist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Business Intelligence Specialist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
In a Nutshell
Valve Meter is searching for a Business Intelligence Developer to join our Analytics & Insights team tasked with using data to drive action and growth for our clients and organization. Analytics and insights are only as strong as the underlying data that powers them, so we are looking for an expert in modeling, engineering, analyzing, and communicating data effectively.
Why this Role is Important
Valve Meter is a high performance marketing agency that utilizes data to make informed business decisions. Everything we do relies on effective and efficient flows of clean data to drive action and create transformational growth. The Business Intelligence Developer will lead in designing, optimizing, and owning Valve Meter's data pipelines, tables, and warehouses.
You love all things data and analytics and thrive where "the rubber meets the road" in turning vision into reality. We strive to be the team that can "figure anything out" and are looking for someone with a knack for solving complex problems and an endless desire to learn.
Responsibilities
Model, extract, and ingest data from various systems and methods, including flat files, APIs, and databases.
Create effective and efficient data pipelines and ETL flows that allow analytics to drive actionable insights.
Take business requirements and vision and transform them into effective data solutions.
Develop dashboards to communicate insights and drive action by using data to tell a story rather than simply showing charts.
Design and development of automated solutions for recurring reporting and in-depth analysis.
About Us
We've named our practice Valve Meter because the variables we can manage with you are the flow and cost of new business. The "valve" part of our approach manages the right rate of new business for your operation, and we set our pricing with you not based on the activities we pursue but on the "metered" results we generate.
Core Values
Think: Focus. Find a way forward.
Love: Act in the long-term best interest of another.
Serve: Meet expectations. Go the extra mile.
Transform: Create dramatic change. Be irreplaceable.
Be Just: Be fair and transparent. Do no harm.
Bachelor's degree in a quantitative field, such as computer science or mathematics
Demonstrated experience using data to create and deliver insights
Creating effective and efficient data pipelines and tables in a cloud environment such as GCP or AWS
Hands-on experience with a BI tool such as Microsoft Power BI, Tableau, or Domo
Creating practical tables and views
Optimizing queries for performance
Writing complex queries to meet any reporting requirements
Working data from complex APIs, both REST and GraphQL
Transforming data from disparate systems into a unified source that drives action
Preferred:
Experience working at a marketing agency
Experience driving change in a BI capacity
Knowledge of digital marketing campaigns, SEO strategies, and marketing measurement
Data ETL Tools like Airbyte of Fivetran
Python
Google Analytics, Google Ads, Microsoft Ads
Standard Software
Data Warehousing: Google BigQuery
BI Tool: Domo
Productivity Suite: Google Workspace
Video Conference: Google Meet
Project Management & Time Tracking: Wrike
Instant Messaging: Slack
CRM: Pipedrive
Automation: Zapier, Airbyte, Python
Password Manager: 1Password
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