All About Data Science and Data Career!
When we talk about most lucrative and highly demanding careers in data science, many designations like a data scientist, data analyst, data engineer pop into our mind. All the above jobs have attained a prime status, but require a wide array of skills from programming to good communication and many more. Let’s discuss the career and skills required in data science in this write up:
The Career in Data Science
Data Scientist
Data scientist proactively fetches information from various sources and analyses it for a better understanding of how the business performs, and to build AI tools that automate certain processes within the company. The incomparable feature of this job makes it one of the sexiest job titles of the 21st century. SQL, Hadoop, Python, R and Java are the programming knowledge required to be a good data scientist.
Job Responsibilities
=> Keep up-to-date with the latest technology trends
=> Develop Research and statistical learning models for optimum data analysis
=> Implement new statistical methods and other mathematical methodologies as required by specific models or analysis
=> Collaborate with product management and engineering departments to understand company needs and devise possible solutions
=> Communicate results and ideas to key decision makers
=> Optimize development efforts for appropriate database use and project design
Data Analyst
Data Analyst works on finding the queries, processing data, providing reports, summering and visualize data. These professionals have a strong understanding of various tools and formulate various methods to solve problems that help the people from across the company with specific reports and charts. Statistics, Exploratory data analysis and Data visualisation are the core skills required for the data analyst. Moreover, he must be well versed with some tools like Microsoft Excel, Tableau, SPSS, SAS, SPSS Modeler, SQL, Microsoft Access, SAS Miner, SSAS
Job Responsibilities
=> Make data analysis on all outcomes and prepare presentations for clients.
=> Manage all client issues and coordinate with the concerned person to facilitate in deliverables.
=> Correlate with clients and staff, and provide support to all data analysis.
=> Conduct audit on data and solve business-related problems for the customer base.
=> Monitor and coordinate with all client invoices and perform all timely evaluation for all payment issues.
=> Correlate with engineering and product management team and ensure correctness on all deliverables and prepare summaries.
=> Perform adequate data analysis and facilitate in delivery to all the users.
Business Intelligence Developers
Business Intelligence Developers are the data experts who deal with the internal stakeholder to understand reporting requirements and collect valid data, design and build Business intelligence reports for solving company issues. Moreover, they work with database both relational and multidimensional and should have a great SQL development skill. Apart from this, you must have ETL, developing reports, OLAP, cubes, web intelligence, business objects design skills and Tableau, dashboard tools, SQL, SSAS, SSIS and SPSS Modeler tools good knowledge.
Responsibilities Of Business Intelligence Developers
=> Manage business intelligence and data warehousing solutions to meet business requirements.
=> Identify and resolve data reporting issues on time.
=> Guide junior engineers in their duties when needed.
=> Recommend improvements to provide optimum reporting solutions.
=> Coordinate with Business Analysts and clients to develop business needs and specifications documents.
Data Engineer
Data Engineers are the high data professionals who work on big data infrastructures. They are well known as software Engineers who design, build, and integrate data from various sources to manage big data. Normally, these deals with raw data that contains human, machine or instrument errors. From business skills, he must have a Creative Problem-Solving approach, Effective Collaboration, Intellectual Curiosity, Industry Knowledge. He also must have good knowledge of tools like MySQL, MongoDB, DashDB, and Cassandra.
Responsibilities of Business Intelligence Developers
=> Evaluate datasets for accuracy and quality.
=> Help to implement new data management projects and re-structure of the current data architecture.
=> Process and update third party data sources.
=> Maintain data files in both electronic versions and hard copies
=> Work with Business Clients in understanding business fundamentals and implementing solutions.
Final Words
As we know the demand for data science is in almost every sector is growing more rapidly. So, with the huge demand and greater job opportunities, curiosity among people is also boosting. Many Data Science Programs in Toronto came forward to meet the demand and supply criteria.
