Sr. Data Analyst

Description:

Job Summary:

Softech-Inc is seeking an experienced and detail-oriented Senior Data Analyst to lead data-driven initiatives and provide actionable insights that drive business strategy. This role involves analyzing complex datasets, managing large-scale data projects, and collaborating with cross-functional teams to solve business challenges. The ideal candidate has strong analytical skills, technical expertise, and the ability to communicate findings effectively to stakeholders at all levels.

Key Responsibilities:

1. Data Analysis & Reporting

• Analyze large and complex datasets to identify trends, patterns, and insights.
• Develop and deliver interactive dashboards and detailed reports for stakeholders using tools like Tableau, Power BI, or similar.
• Interpret data to provide actionable recommendations that align with business goals.

2. Strategic Decision Support

• Partner with business units to define key performance indicators (KPIs) and ensure alignment with company objectives.
• Conduct predictive and prescriptive analyses to forecast outcomes and optimize decision-making processes.

3. Data Management & Governance

• Ensure data accuracy, integrity, and consistency across all systems and platforms.
• Collaborate with data engineers to design and maintain robust data pipelines and architectures.
• Advocate for and implement best practices in data governance and security.

4. Leadership & Mentorship

• Provide guidance and mentorship to junior analysts and team members.
• Lead data projects, ensuring timely delivery and alignment with business priorities.
• Stay current on industry trends and emerging analytics tools and techniques.

5. Cross-Functional Collaboration

• Work closely with product, marketing, finance, and operations teams to identify opportunities for growth and efficiency.
• Translate business needs into analytical solutions, ensuring alignment between technical implementation and strategic objectives.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s preferred).
• 5+ years of experience in data analysis, business intelligence, or a similar role.
• Proficiency in SQL for querying and manipulating data.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Expertise in statistical analysis tools (e.g., R, Python) and familiarity with machine learning frameworks.
• Solid understanding of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery.
• Excellent communication skills, with the ability to simplify complex concepts for non-technical audiences.
• Demonstrated experience managing large datasets and working with cloud-based data ecosystems (AWS, Azure, or Google Cloud).

Preferred Qualifications:

• Advanced degree in a relevant field.
• Experience in a specific domain such as finance, healthcare, or e-commerce.
• Knowledge of Agile project management methodologies.
• Certifications in data analytics, such as Tableau Desktop Specialist or AWS Data Analytics.