Data Analyst Photon

  • company name Photon
  • working location Office Location
  • job type Full Time

Experience: 4 - 4 years required

Pay:

Salary Information not included

Type: Full Time

Location: All India

Skills: SQL, Python, R, SAS, data warehousing, OLAP, azure devops, data modelling, Microsoft Fabric, Azure SQL, Azure Synapse Analytics, transactsql tsql, azure data lake, azure data factory, Microsoft Power BI

About Photon

Job Description

As a data analyst at our company, you will play a crucial role in turning raw data into valuable insights and actionable recommendations. Your responsibilities will include gathering, cleaning, analyzing, and presenting data from various sources to support business processes. Collaboration with cross-functional teams and stakeholders will be essential to deliver data-driven solutions effectively. You will be expected to collect and integrate data from diverse sources like databases, APIs, files, and web services. Ensuring data accuracy and reliability through quality checks and cleansing will be a key part of your role. Utilizing various data analysis methods such as descriptive statistics, exploratory data analysis, hypothesis testing, and predictive modeling will help you derive meaningful conclusions. Creating and maintaining dashboards, reports, and visualizations using tools like SSRS and Power BI will be part of your routine tasks. Effective communication of data insights to relevant stakeholders using clear language and visuals is crucial for driving informed decision-making. Identifying data-driven solutions for business challenges and supporting data governance initiatives will also be within your scope. To qualify for this role, you should hold a Bachelor's degree in data science, statistics, computer science, mathematics, or a related field. A minimum of 4+ years of experience in data analysis or a related role is required. Proficiency in SQL and at least one programming language such as Python, R, or SAS is essential. Experience in designing, creating, and testing SQL reports using SSRS is also preferred. Knowledge in areas like Data Warehousing, Data Modeling, and exposure to OLAP will be advantageous. Familiarity with tools and technologies such as Microsoft Fabric, Azure SQL, Azure DevOps, Azure Synapse Analytics, Data Warehousing, Transact-SQL (T-SQL), Azure Data Lake, Azure Data Factory, and Microsoft Power BI is beneficial. Strong analytical and problem-solving skills, excellent communication, and presentation abilities are key attributes for success in this role. The capacity to work both independently and collaboratively in a dynamic work environment is vital for this position.,