Virtualness

Lightning job by Cutshort ⚡

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About Us:

Virtualness is the first end-to-end decentralized web3 platform offering mobile-first generative AI creation, NFT minting, and marketplace tools in one place making it easy for any creator or brand to scale their business and easily capture the value-creation opportunity that blockchain presents. Built on the ethos of ’empathy at the core' Virtualness puts creators first, and is building the playbook for AI led

easy design, efficient sharing / social experiences and seamless digital commerce.

Job Description:

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data manipulation and visualization tools, and a passion for deriving actionable insights from complex datasets. The Data Analyst will play a key role in interpreting data, identifying trends, and providing valuable recommendations to support strategic business objectives.

Key Responsibilities:

- Analyze large datasets to extract meaningful patterns, trends, and insights.

- Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) and inform decision-making processes.

- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

- Perform data cleansing, transformation, and validation to ensure accuracy and consistency of data.

- Conduct ad-hoc analyses to address specific business questions and provide actionable recommendations.

- Utilize statistical techniques and predictive modeling to identify opportunities for process optimization and revenue enhancement.

- Stay updated on industry trends, best practices, and emerging technologies in data analytics and contribute to continuous improvement initiatives.

- Present findings and insights to stakeholders in a clear and compelling manner through written reports and presentations.

Qualifications:

- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; Master's degree preferred.

- Proven experience as a Data Analyst or similar role, with a track record of delivering actionable insights and driving business impact.

- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.

- Strong analytical skills with the ability to work with large datasets and complex data structures.

- Experience with data visualization tools such as Tableau, Power BI, or Looker.

- Familiarity with statistical techniques, machine learning algorithms, and data mining methods.

- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

- Strong attention to detail and problem-solving abilities.

- Ability to work effectively both independently and as part of a team in a fast-paced environment.

Preferred Qualifications: 

- Experience with cloud-based platforms such as AWS, Google Cloud Platform, or Azure.

- Knowledge of advanced analytics techniques such as predictive modeling, clustering, and segmentation.

- Previous experience in the Web3 industry is a plus.

Benefits:

- Competitive salary

- Health insurance

- Flexible work hours

- ESOPS

- Opportunities for professional growth

- Access to cutting-edge technologies

- A collaborative and innovative work environment