Data Analyst

AgileGrid Solutions; United States; Remoto; USD 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity participation

401(k) plan

Healthcare coverage

Professional development

Descrizione del lavoro

Daice Labs seeks a Data Analyst to join our remote US team. You will work with engineering and research to analyze complex datasets, influence product development, and support model evaluation with data-driven insights.

The role requires strong analytical skills, attention to detail, and the ability to communicate findings to both technical and non-technical audiences. This is a remote-friendly position within the United States.

Competenze

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics or related quantitative discipline.
• Minimum of two years of professional experience in data analysis or similar analytical role.
• Proficiency in SQL essential; experience in Python or R required.
• Experience with data visualization tools such as Tableau, Power BI or Looker.

Mansioni

• Analyze large and complex datasets to identify trends, patterns and actionable insights for product and business decisions.
• Develop, maintain and enhance dashboards, reports, and automated data summaries using Tableau, Power BI or Looker.
• Implement data quality checks and validation procedures to ensure data accuracy and consistency.
• Collaborate with machine learning engineers to evaluate model performance and inform optimization.
• Write efficient SQL queries and Python scripts to extract, transform and analyze data from multiple sources.

Conoscenze

SQL

Python

Tableau

Power BI

Looker

Pandas

NumPy

Matplotlib

Formazione

Bachelor's degree in a quantitative field

Strumenti

BigQuery

Redshift

Snowflake

Descrizione del lavoro

About Daice Labs

Daice Labs is an innovative AI research and product development company founded by scientists from the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL). Headquartered in Brookline, Massachusetts, the company specializes in creating advanced hybrid AI systems that merge neurosymbolic methods with traditional machine learning techniques. This integration aims to produce AI solutions that are not only powerful but also auditable, adaptable, and governable, ensuring they meet high standards of transparency and reliability. Daice Labs operates through two primary divisions: a dedicated research lab focused on exploring and developing hybrid AI architectures, and Cofabric, a comprehensive governed AI execution platform designed to facilitate long-horizon collaborative work. The company's mission is to push the boundaries of AI capabilities while maintaining a strong emphasis on ethical and responsible AI deployment.

About Daice Labs

Daice Labs is an innovative AI research and product development company founded by scientists from the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL). Headquartered in Brookline, Massachusetts, the company specializes in creating advanced hybrid AI systems that merge neurosymbolic methods with traditional machine learning techniques. This integration aims to produce AI solutions that are not only powerful but also auditable, adaptable, and governable, ensuring they meet high standards of transparency and reliability. Daice Labs operates through two primary divisions: a dedicated research lab focused on exploring and developing hybrid AI architectures, and Cofabric, a comprehensive governed AI execution platform designed to facilitate long-horizon collaborative work. The company's mission is to push the boundaries of AI capabilities while maintaining a strong emphasis on ethical and responsible AI deployment.

About The Role

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team remotely within the United States. In this role, you will collaborate closely with engineering and research teams to gather, analyze, and interpret complex datasets that directly influence product development, model evaluation, and overall business strategies. Your insights will be instrumental in shaping the future of our AI solutions by providing data-driven recommendations and supporting operational excellence. The ideal candidate will possess strong analytical skills, a keen eye for detail, and the ability to communicate technical findings effectively to both technical and non-technical audiences. This position offers an exciting opportunity to work at the forefront of AI research and product innovation in a collaborative and innovative environment.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable insights that support product enhancements and business decision-making processes.
• Develop, maintain, and enhance dashboards, reports, and automated data summaries utilizing visualization tools such as Tableau, Power BI, or Looker to facilitate data comprehension across teams.
• Design and implement rigorous data quality checks and validation procedures to ensure accuracy and consistency of data sources.
• Collaborate with machine learning engineers to evaluate model performance metrics, interpret experimental results, and provide insights for model optimization.
• Write efficient SQL queries and Python scripts to extract, transform, and analyze data from various sources, ensuring data integrity and relevance.
• Document analytical methodologies, data sources, and key findings to promote knowledge sharing and maintain transparency within the organization.
• Support operational reporting efforts, including monitoring usage metrics, analyzing user behavior, and tracking key performance indicators (KPIs) to inform strategic initiatives.

Qualifications

The ideal candidate will possess a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline. A minimum of two years of professional experience in data analysis or a similar analytical role is required. Proficiency in SQL is essential, along with experience in at least one programming language such as Python or R. Familiarity with data visualization tools like Tableau, Power BI, or Looker is also necessary. Candidates should have a solid understanding of both descriptive and inferential statistics, along with the ability to communicate complex analytical findings clearly through reports and presentations. Attention to detail and a systematic approach to problem-solving are critical for success in this role.

Preferred Qualifications

• Experience with Python data analysis libraries such as Pandas, NumPy, and Matplotlib.
• Familiarity with cloud data warehouses including BigQuery, Redshift, or Snowflake.
• Experience designing and analyzing A/B tests or other experimental frameworks.
• Exposure to machine learning concepts and evaluation metrics for models.

Benefits

Daice Labs offers a competitive compensation package, with salary details to be discussed during the interview process. Employees are also provided with equity participation, enabling them to share in the company's growth and success. Additional benefits include a comprehensive 401(k) retirement plan, healthcare coverage to support your well-being, and opportunities for professional development. The company fosters a collaborative and innovative work environment, encouraging continuous learning and growth. As a remote-friendly organization, Daice Labs provides flexibility to support work-life balance, allowing employees to work from anywhere within the United States.

Equal Opportunity

Daice Labs is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law. The company values diversity and is dedicated to creating a welcoming environment for all employees. Applicants with criminal histories will also be considered in accordance with applicable laws. Daice Labs is registered in Massachusetts and complies with e-verify.gov requirements.