Sr Data Analyst
INSTRUCTURE- Full Time
- Posted : 2 years ago
TELECOMMUTE Location: Remote, US
At Instructure, our vision is to help people learn, develop, and engage from their first day at school to their last day of work. Our goal is simple: create more effective ways for everyone everywhere to access education, make discoveries, share knowledge, be inspired, and do big things. We accomplish all this by giving smart, creative, passionate people opportunities to create awesome. So here’s your opportunity…
We are looking for an experienced Sr. Data Analyst to join the Product Analytics team. This position is responsible for owning/collaborating on the creation and maintenance of mechanisms that offer continuous, actionable insights from multiple data streams across the company’s product portfolio.
What you will need to know/have:
- MS or BS in technical degree field such as Computer Science, Information Systems, Math, Statistics, or Finance
- 5+ years of experience in data architecture/modeling and dashboard UI development/design
- Working knowledge of the following:
- Scripting languages (e.g. Python, SQL)
- Business intelligence solutions (eg. Salesforce, Tableau)
- Data engineering concepts (integrations / ETL, big data technologies, data warehousing, etc.) is a plus but not required
- Data science concepts including statistics, data mining, and predictive analytics is a plus but not required
- Note that the current analytics environment utilizes JIRA, Boomi, Python, Spark, SnowFlake, and Tableau
Get in on all the awesome at Instructure:
- Competitive salary and 401k.
- Medical, dental, disability, and life insurance.
- HSA program, vision, voluntary life, and AD&D.
- Tuition reimbursement.
- Paid time off, 10 paid holidays, and flexible work schedules.
- Gym club reimbursements and rewards-based fitness tracking.
We’ve always believed in hiring the most awesome people and treating them right. We know that the more diverse we are, the more diverse our ideas will be and when we openly welcome those ideas, our environment is better and our business is stronger.
At Instructure we participate in E-Verify and yes, in case you didn’t catch it from the above, we are an Equal Opportunity Employer.
All Instructure employees are required to successfully pass a background check upon being hired.
Responsibilities and Duties What you will be doing:
- Designing, developing, implementing, and maintaining KPI reports from the ground up; collaborating on defining the requirements, assisting with ETL / integrations, architecting the data models, and providing maintenance & support.
- Solving ambiguous and challenging data-related problems that help to answer research questions.
- Working closely with data governance to assist in high confidence / “single source of truth” initiatives.
- Collaborating on mixed methods research efforts where quantitative analyses complement qualitative initiatives.
- Balancing ownership and collaboration on initiatives; offering consultation as needed.
- Developing new data opportunities (both structured and unstructured) and sophisticated data models used to build new dashboards, automated reports, and product analytics.
- Applying data engineering knowledge such as ETL, big data technologies, and scripting languages to maintain and/or improve existing processes.
- Utilizing knowledge of data science concepts including statistics, data mining, and predictive analytics to support various business needs.
- Adapting to immediate needs and maintaining flexible priorities.
Skills
- Python
- Jira
- SQL
- SnowFlake
- ETL
- Apache Spark
- Tableau
- Data Analysis
- SalesForce
- Data Analytics
- Data Science
- Data Mining
- Collaborative
- Data Architecture
- Data Warehousing
- boomi
