Seasonal Data Analyst (Alaska) $30-$41/hr

MaziCTools; Los Angeles (CA); Hybrid; USD 41,000 - 56,000; Full time

Job summary

Target is seeking a Data Analyst to join our analytics team in the United States. You will build data pipelines, develop dashboards, and provide insights to optimize business decisions across channels.

You will work with SQL, Python and BI tools, collaborate with product and operations teams, and contribute to studies that drive performance improvements while learning advanced analytics techniques in a fast-paced environment.

Qualifications

• Bachelor-level degree or higher in a quantitative field with analytics experience.
• Strong SQL and data analysis skills required.
• Experience with big data tools and data pipelines.
• Ability to translate data into actionable business insights.

Responsibilities

• Center liabilities are described in this job description; duties may change due to business needs.
• Create, model and apply statistical methods while upskilling others on new technologies to raise analytics standards.
• Drive continuous improvement by finding better ways to address issues through training, peer collaboration and industry publications.
• Be proficient in clear business domains, work independently and drive execution towards results.
• Participate in learning groups to elevate awareness of current topics like tools (R, Python) and statistics.
• Promote collaboration in internal meetings and hackathons relevant to analytics.
• Contribute to the design of tools and dashboards to attract talent by collaborating with talent acquisition.
• Participate in Agile routines to stay updated on project progress.
• Create and analyze data reports/dashboards/pipelines, perform RCA and investigate issues using exploratory methods.

Skills

Analytical thinking

SQL proficiency

Communication

Team collaboration

Education

E/B.Tech / M.Tech / M.Sc. / MCA

Tools

Hadoop

Hive

Flash

Python

R

Domo

Job description

Target is seeking a Data Analyst to join our analytics team in the United States. You will build data pipelines, develop dashboards, and provide insights to optimize business decisions across channels.

You will work with SQL, Python and BI tools, collaborate with product and operations teams, and contribute to studies that drive performance improvements while learning advanced analytics techniques in a fast-paced environment.