We all know every decision should be driven by data. But what about the data you don’t know? For years, the status quo in data aggregation has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Premise changes that.
Across 138 countries and counting, our technology connects communities of global smartphone users to source actionable data in real-time, cost- effectively, and with the visibility you need. So leaders inside organizations, non-profit agencies and governments can now make the best decisions under the best conditions.With Premise, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they’re gathering is going to an organization that values it, and values them.Position SummaryWe’re growing rapidly, and we’re searching for an energetic and strategic Business Intelligence Analyst in Mexico City.
You will be part of a team of highly talented individuals and be responsible for helping surface insights from our data, producing clear and compelling visualizations and reports for our customers – specifically in the commercial sector. You will employ a range of analytical techniques and tools to do this, including custom modeling, and longitudinal studies, packaging the material in various formats to enable customer decision-making.Premise thinks differently about market research, an industry undergoing fundamental changes right now. We’re adopting technology around new data collection methods, geolocation and in-the-moment CX that will modernize how (and how deeply) companies understand their customers. If you’re looking to impact the future of global insights and analytics, then let’s talk.What You Will DoYou’ll work in the Data Production & Delivery team, a group of data analysts, analytics engineers and BI analysts who are responsible for turning our raw data into the insights our customers need to make faster, more effective decisions.
Responsibilities include:
- Engage end users to understand data delivery requirements and goals
- Work with the CDMX-based Customer Success team to establish data collection goals, needs, and methods, as well as ultimate deliverables
- Engage closely with customers, both on-site and virtually, to understand the crucial questions that they need answers to
- Build customer-facing deliverables and/or visualizations
- Work with Data Delivery teams to build data collection mechanisms, evaluate early submissions, and create ongoing reports and analyses
- Work with those teams to build interactive dashboards using SQL queries and Power BI to engage the underlying data
- Critically evaluate customer data and refine collection strategies
- Perform ongoing analysis of data to uncover issues related to quality and consistency
- Highlight key insights using statistics and other analytically rigorous tools, packaging them for end users in easily digestible language and formats
- Recommend concrete suggestions for improvement and work with other teams to implement, tracking their impact and utility over time
What You Bring Along
- BA/BS degree in Engineering, Computer Science, or a related technical field—or equivalent practical experience
- 2+ years hands-on demonstrable experience with Power BI
- 1+ years experience with SQL
- 2+ years general analytics experience, generating client-facing reports, ideally in the commercial sector (ie market research companies, consumer packaged goods vendors, etc)
- Functional mastery of English (fluency preferred)
- Strong communication skills for both technical and non-technical audiences
- Relentless drive to listen, learn, and improve the world around you
- Enjoys bringing order to complexity by structuring and optimizing analytics tasks and requests
- Proactive about documenting and sharing your work to enable team collaboration and growth
Bonus Points:
- Familiarity working with Google BigQuery
- Scripting language fluency (such as R or Python), ideally for data analysis and visualization
- Confidence diving deep to find items of interest in large datasets
