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    Sr. Data Analyst

    Position:Sr. Data Analyst
    About the Company
    At Assetmonk, we pride ourselves on being a cutting-edge platform in the alternative investments space, specializing in curating non-traditional opportunities in the most demanded real estate segments. Our primary focus is to offer value investors the chance to participate in these unique investment opportunities. Our company culture values innovation and embraces the constant evolution of our industry. Working with us means being exposed to new and innovative ideas regularly, ensuring that you stay engaged and up-to-date with the latest trends and technologies. We believe that this dynamic environment keeps things interesting and encourages continuous learning and growth. Furthermore, our dedication to our employees is evident through our strong emphasis on professional development. We are committed to providing the necessary resources and support to help our team members thrive and advance within the organization.

    About this Job
    We are seeking an experienced and detail-oriented Senior Data Analyst to join our dynamic team. The ideal candidate will have a proven track record of extracting valuable insights from large datasets, providing actionable recommendations, and contributing to data-driven decision-making processes. As a Senior Data Analyst, you will play a pivotal role in shaping the data analytics strategy of the organization.

    Roles & Responsibilities
    Data Analysis and Interpretation:

    • Analyse large datasets to identify trends, patterns, and correlations that provide valuable business insights.
    • Interpret complex data sets and communicate findings in a clear and concise manner to both technical and non-technical stakeholders.
    Data Visualization:
    • Create visually compelling and informative dashboards, reports, and presentations using data visualization tools.
    • Effectively communicate analytical results to stakeholders through visually appealing and understandable means.
    Cross-Functional Collaboration:
    • Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers, to understand data requirements and deliver actionable insights.
    Data Quality Assurance:
    • Ensure the accuracy, completeness, and reliability of datasets through data profiling, cleansing, and validation.
    • Identify and address data quality issues to maintain the integrity of analytical outputs.
    Mentorship and Leadership:
    • Provide mentorship and guidance to junior members of the data analytics team.
    • Lead by example, promoting best practices in data analysis and fostering a culture of continuous learning

    Skill Set:

    • 2 to 5 years of proven experience as a Data Analyst, with a focus on statistical analysis and data interpretation
    • Demonstrated experience in data visualization tools such as Power BI, or similar.
    • Proficient in SQL for data extraction and manipulation
    • Strong programming skills in languages such as Python
    • Strong in Data engineering and cleanups.
    • Excellent communication and presentation skills, with the ability to convey complex findings to both technical and non-technical audiences.
    • Strong analytical thinking and problem-solving skills, with the ability to translate business questions into data analysis tasks.
    • Demonstrated leadership and mentorship capabilities in guiding a team towards successful project outcomes.

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