Data Analyst

Mac Media Ltd

Boston (MA)

In loco

USD 65.000 - 90.000

Tempo pieno

47 ore fa
Candidati tra i primi

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Descrizione del lavoro

Mac Media Ltd is seeking a detail-oriented Data Analyst to transform data into actionable insights that drive strategic decisions across the organization. You will work closely with departments to understand data needs, analyze large datasets, and create reports and visualizations that effectively communicate findings.

This role involves using advanced analytical tools and programming languages to identify trends and optimization opportunities.

Competenze

  • Bachelor’s degree in Statistics, Mathematics, CS or related field.
  • Proficiency in SQL and experience with relational databases.
  • Strong knowledge of Tableau, Power BI or similar.
  • Experience with Python or R for statistical analysis.
  • Excellent problem-solving and attention to detail.
  • Ability to communicate complex data insights to non-technical audiences.
  • Collaborative, team-oriented environment.

Mansioni

  • Collect, process, and analyze large datasets to identify trends and patterns.
  • Develop and maintain dashboards and reports to visualize KPIs.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Ensure data accuracy and integrity through validation and cleaning processes.
  • Identify opportunities for process improvements and optimization based on data insights.
  • Translate complex data findings into clear, actionable recommendations for stakeholders.
  • Stay up-to-date with industry trends and emerging technologies in data analytics.

Conoscenze

SQL proficiency
Data visualization
Python or R
Attention to detail
Communication of insights

Formazione

Bachelor’s degree in Statistics/Math/CS

Strumenti

Tableau
Power BI

Descrizione del lavoro

Description

We are seeking a detail-oriented and highly analytical Data Analyst to join our dynamic team. The ideal candidate will play a critical role in transforming data into actionable insights that drive strategic decision-making across the organization. This position involves working closely with various departments to understand data needs, analyze complex datasets, and create reports and visualizations that communicate findings effectively. The Data Analyst will leverage advanced analytical tools and programming languages to identify trends, patterns, and opportunities for optimization. This role requires strong problem-solving abilities, excellent communication skills, and a passion for data accuracy and integrity. If you are excited about working in a fast-paced environment where your analytical skills can directly impact business outcomes, this is the opportunity for you. You will be empowered to work with cutting-edge technology and collaborate with cross-functional teams to deliver meaningful data insights that enhance operational efficiency and support business growth.

Responsibilities
  • Collect, process, and analyze large datasets to identify trends and patterns.
  • Develop and maintain dashboards and reports to visualize key performance indicators.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Ensure data accuracy and integrity through rigorous validation and cleaning processes.
  • Identify opportunities for process improvements and optimization based on data insights.
  • Translate complex data findings into clear, actionable recommendations for stakeholders.
  • Stay up-to-date with industry trends and emerging technologies in data analytics.
Requirements
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Proficiency in SQL and experience with relational databases.
  • Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
  • Experience with statistical analysis and programming languages like Python or R.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights clearly to non-technical audiences.
  • Experience working in a collaborative, team-oriented environment.
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