Offer summary

Qualifications:

Expertise in development and analytical tools such as SQL, SPSS, R, Python, MS Excel, and visualization tools like PowerBI or Tableau., Proven ability to gather information systematically and analyze complex issues., Strong sense of personal accountability for high-quality, value-driven work., Experience in research and data analysis with a focus on statistical techniques..

Key responsabilities:

Create user-friendly deliverables such as reports, dashboards, and presentations that communicate data insights effectively.

Consult with partners to leverage data for achieving strategic goals and participate in cross-functional teams.

Conduct quantitative and qualitative data analysis to identify patterns and support decision-making.

Provide forecasts and recommendations based on business data and market knowledge.

Job description

Pavarini Construction Co. is a full-service construction management and general contracting firm dedicated to providing outstanding client services.

The Role

Responsibilities

User-friendly deliverables (reports, dashboards, presentations, etc.) that translate detailed data, analysis, and insights into business-appropriate communication and recommendations
Consultation to partners on using data and insights to achieve their strategic goals; participation in cross-functional teams to analyze and tackle critical business challenges
Quantitative and qualitative data analysis, identification of patterns and trends, and insights that support thoughtful decision-making
Forecasts, recommendations and both strategic and tactical plans driven by business data and market knowledge
New perspectives, creative problem solving, and inter-departmental connections that improve analytical capabilities and transform us from reactive to proactive

Ideal Profile

Requirements

Have expertise in development and analytical tools such as SQL, SPSS, R, Python, MS Excel, or other tools, as well as visualization tools like PowerBI or Tableau.
Have a proven ability to gather information systematically; consider a broad range of issues and factors; grasp complexities and perceive relationships among problems or issues; and use accurate logic in analysis.
Feel a strong sense of personal accountability for high quality, value-driven work that supports business outcomes; places the user in the center of decision making; and prioritizes speed, agility and innovation in work.
Embrace continuous learning, curiosity, and ambiguity.
They will fluidly share findings and new insights with peers through coaching and mentoring.
Have progressively more advanced experience in research and data analysis, application of statistical research techniques, or application development.
Be responsive to changing business needs, manage and prioritize concurrent assignments, and handle ambiguity with ease.
They will have a strong customer orientation and a consistent record of hitting deadlines.

What's on Offer?