Data Analyst
LEARFIELD
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • United States
Visit company websiteExplore more
About the role
- Extract, clean, preprocess, transform and load data from various sources.
- Validate data accuracy, completeness, and integrity.
- Develop scripts and workflows to automate data collection and process tasks.
- Apply statistical and analytical techniques to derive insights from complex datasets.
- Perform exploratory data analysis to uncover trends, patterns and anomalies.
- Conduct hypothesis testing and predictive modeling to support business objectives.
- Create visually appealing and interactive dashboards, reports, and presentations.
- Ability to communicate analytical findings and recommendations to non-technical stakeholders using data visualization tools.
- Collaborate with cross-functional teams to design and deliver actionable insights.
- Identify and address data quality issues and discrepancies.
- Implement data quality controls and monitoring mechanisms.
- Partner with business units to define key performance indicators (KPIs) and metrics.
- Analyze business processes and operations to identify opportunities for improvement.
- Provide decision support through ad-hoc analysis and scenario modeling.
- Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
- Participate in training programs and professional development opportunities.
- Share knowledge and insights with colleagues to foster a culture of continuous learning.
Requirements
- 3+ years of work experience in the field of data analytics.
- Proven experience in data analysis, business intelligence, or related roles.
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication, presentation and collaboration capabilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Knowledge of machine learning and data mining techniques is desirable.
- Experience working with APIs.
- Ability to multi-task and juggle multiple concurrent projects in a fast-paced an agile environment.
- A passion for data analytics and BI with a knack for finding innovative solutions.
- A talent for design with a keen eye for detail, structured thinking, and best practice.
- Both architectural and hands on, with the ability to specify and build.
- Quick learner that will understand our business requirements to create unique solutions.
Benefits
- Medical
- Dental
- Vision
- Health Savings Account
- Life Insurance
- Other Insurance Plans
- Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave
- 20 Paid Holidays
- 401(k) + Match
- Short/Long Term Disability
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data extractiondata cleaningdata preprocessingdata transformationdata validationstatistical analysispredictive modelingdata visualizationmachine learningdata mining
Soft Skills
analytical skillsproblem-solvingcommunicationpresentationcollaborationattention to detailindependenceadaptabilitymulti-taskingcontinuous learning