Senior Data Analyst
Cura Label Technologies · United States
- Hybrid
- Full-time
- $110,000 / year
- United States
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Job highlights
- Analyze data to drive business decisions.
- Build dashboards and reports for insights.
- Collaborate with cross-functional teams.
- Work remotely on a 12-month contract.
- Utilize modern analytics tools.
About the role
About Curalabel
Curalabel is seeking a detail-oriented Senior Data Analyst to join our team on a one-year full-time contract. In this role, you will collect, analyze, and interpret data to generate actionable insights that support business decisions. You will work closely with cross-functional teams to identify trends, build reports, and develop dashboards that drive operational efficiency and business growth.Responsibilities
- Collect, clean, validate, and analyze large datasets from multiple sources.
- Develop dashboards, reports, and visualizations to communicate key business metrics.
- Identify trends, patterns, and opportunities through statistical and exploratory data analysis.
- Work with stakeholders to understand reporting requirements and business objectives.
- Create and maintain automated reporting processes.
- Monitor data quality and ensure the accuracy and consistency of datasets.
- Perform ad hoc analysis to support strategic and operational decision-making.
- Collaborate with engineering, product, marketing, finance, and operations teams.
- Present findings and recommendations to technical and non-technical stakeholders.
- Document data definitions, methodologies, and analytical processes.
Required Qualifications
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
- Experience analyzing and interpreting large datasets.
- Strong proficiency in SQL.
- Advanced Microsoft Excel skills, including pivot tables and complex formulas.
- Experience with Power BI, Tableau, Looker, or similar BI tools.
- Knowledge of statistical analysis and data visualization best practices.
- Familiarity with Python or R for data analysis.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Strong written and verbal communication skills.
- Ability to work independently in a fully remote environment.
Preferred Qualifications
- Experience with AWS, Google Cloud Platform, or Microsoft Azure.
- Experience with relational databases and data warehouses.
- Familiarity with ETL processes and data pipelines.
- Understanding of data modeling and database design.
- Experience with predictive analytics or machine learning.
- Knowledge of A/B testing and experimental analysis.
- Experience working in Agile teams.
- Relevant data analytics certifications are a plus.
What We Offer
- 100% Remote work.
- Full-time, 12-month contract.
- Opportunity to work with modern analytics tools and technologies.
- Collaborative and data-driven work environment.
- Meaningful projects with real business impact.
Key skills/competency
- Data Analysis
- SQL
- Business Intelligence
- Data Visualization
- Statistical Analysis
- Python
- R
- Data Cleaning
- Reporting
- Problem-Solving
Skills & topics
- Senior Data Analyst
- Data Analytics
- SQL
- Data Visualization
- Business Intelligence
- Excel
- Power BI
- Tableau
- Python
- R
- Remote
- Contract
How to get hired
- Tailor your resume: Highlight your SQL, Excel, and BI tool skills.
- Showcase your portfolio: Include examples of dashboards and analysis.
- Emphasize remote work skills: Detail your ability to collaborate virtually.
- Prepare for technical questions: Brush up on SQL, statistics, and data visualization.
- Demonstrate problem-solving: Be ready to discuss past analytical challenges.
Technical preparation
Master SQL for complex queries.,Practice creating advanced Excel pivot tables.,Build sample dashboards in Power BI/Tableau.,Review Python/R data analysis libraries.
Behavioral questions
Describe a complex data problem solved.,How do you handle conflicting stakeholder requests?,Explain a time data improved a business decision.,How do you ensure data accuracy and detail?
Frequently asked questions
- What are the key technical skills for a Senior Data Analyst at Cura Label Technologies?
- The key technical skills for a Senior Data Analyst at Cura Label Technologies include strong proficiency in SQL, advanced Microsoft Excel, and experience with BI tools like Power BI, Tableau, or Looker. Familiarity with Python or R for data analysis is also important.
- Is this a remote position for the Senior Data Analyst role at Cura Label Technologies?
- Yes, this Senior Data Analyst position at Cura Label Technologies is a 100% remote work opportunity.
- What is the employment type and duration for the Senior Data Analyst role?
- The Senior Data Analyst role at Cura Label Technologies is a full-time, 12-month contract position.
- What kind of data analysis will a Senior Data Analyst perform at Cura Label Technologies?
- A Senior Data Analyst at Cura Label Technologies will collect, clean, validate, and analyze large datasets, identify trends and patterns, perform ad hoc analysis, and create reports and dashboards to support business decisions.
- What educational background is required for the Senior Data Analyst position at Cura Label Technologies?
- A Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field is required for the Senior Data Analyst position.
- What preferred qualifications would make a candidate stand out for the Senior Data Analyst role at Cura Label Technologies?
- Preferred qualifications for the Senior Data Analyst role include experience with cloud platforms (AWS, GCP, Azure), ETL processes, data modeling, predictive analytics, and A/B testing. Certifications are also a plus.
- How can I best prepare my application for the Senior Data Analyst job at Cura Label Technologies?
- To best prepare your application for the Senior Data Analyst job at Cura Label Technologies, tailor your resume to highlight your proficiency in SQL, Excel, and BI tools, and showcase any experience with Python or R. Emphasize your ability to analyze complex datasets and present findings clearly.