StatusNeo Technology - Data Analyst - SQL/Python (1-4 yrs)

About StatusNeo :

At StatusNeo, we are committed to redefining the way businesses operate.

As a leader in digital transformation, we leverage cutting-edge technologies and innovative strategies to empower organizations around the globe.

Our partnerships with industry giants and our commitment to continuous learning and improvement provide an unparalleled platform for professional growth.

Embrace a career at StatusNeo, where we value diversity, and inclusivity and great work culture.

Job Title : Data Analyst

Role Overview :

We're seeking a skilled Data Analyst with 1-4 years of experience to join our dynamic analytics team.

You'll analyze data to derive insights, support decision-making, and contribute to our business strategies.

Your work will drive our technology initiatives, enhance our product offerings, and support our business objectives.

Key Responsibilities :

- Collect, clean, and analyze data from various sources to support business decisions.

- Develop and maintain dashboards and reports to track key performance metrics.

- Identify trends, patterns, and insights from data and present findings to stakeholders.

- Collaborate with cross-functional teams to understand their data needs and provide analytical support.

- Perform data validation and ensure data accuracy and integrity.

- Stay updated with emerging data analysis tools and technologies.

- Contribute to the continuous improvement of data analysis processes and methodologies.

Qualifications :

- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

- 1-4 years of experience in data analysis.

- Proficiency in data analysis tools and programming languages e., SQL, Python, R.

- Experience with data visualization tools (e., Tableau, Power BI).

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork skills.

- Ability to work independently and collaboratively in a team environment.

- Attention to detail and commitment to data accuracy