As the demand for the data professionals continues to grow, there is a staggering rise in the data analytics certification courses. Individuals are actively looking for the right career path in the data domain. Data Analyst is one such profile that not only offers a lucrative growth but also ensures job security.
The data analytics certification course, you can explore marry as of career opportunities. If you two are looking forward to becoming a Data Analyst, this is the right time to step in this domain. Just 2021 there has been a 26.6% in the analytics feet. Moreover it is expected that around 11.5 million new opportunities would be created for data professionals.
Oh, if You Are looking to make a right start, and rolling for the best professional certification course online is the easiest way to start your career growth. In this blog, we are going to unfold the key job profiles available for a professional who has data analytics certification.
Why Become a Data Analyst
Becoming a Data Analyst can be a rewarding career choice for several reasons:
High Demand for Data Analysts
Organizations of all types and sizes rely on data to make informed decisions. There is a high demand for professionals who can analyze and interpret data effectively.
Diverse Job Opportunities
Data Analysts are needed in various industries, including healthcare, finance, e-commerce, marketing, and more. This diversity allows you to choose a field that aligns with your interests and passions.
Valuable Skills
Working as a Data Analyst equips you with valuable skills such as data manipulation, statistical analysis, and data visualization. These skills are transferable and can open doors to a wide range of career opportunities.
Problem Solving
Data Analysts are problem solvers. They use data to identify challenges, uncover insights, and propose solutions. This role allows you to make a tangible impact on an organization's success.
Intellectual Challenge
If you enjoy intellectual challenges and solving complex puzzles, data analysis can be intellectually stimulating. You'll constantly encounter new questions and problems to solve.
Career Growth
Data analytics is a field with room for career growth. You can start as an entry-level Data Analyst and progress to more senior roles like Data Scientist or business intelligence analyst.
Competitive Salary
They are typically well-compensated, with competitive salaries and opportunities for bonuses or incentives, especially as you gain experience and expertise.
Influence Decision-Making
As a Data Analyst, you have the opportunity to influence important decisions within an organization. Your insights can guide strategic choices and help a company stay competitive.
Continuous Learning
The field of data analytics is always evolving, which means you'll have opportunities for continuous learning and skill development. Staying up-to-date with the latest tools and techniques is essential, and this can keep your work interesting and challenging.
Global Relevance
Data analysis skills are in demand worldwide. This means you have the flexibility to work in various locations or even remotely, depending on your preferences.
Top 5 Job Profile for Individuals Who Have Completed Data Analytics Certification Course
1. Data Analyst
Skills Required:
Proficiency in data analysis tools like Excel, SQL, and data visualization tools like Tableau or Power BI.
Strong analytical and problem-solving skills.
Knowledge of statistics and data modeling.
Job Roles:
Analyzing data to identify trends and insights.
Creating reports and dashboards.
Collaborating with teams to make data-driven decisions.
Salary Range: The salary for a Data Analyst typically ranges from ₹ 1.7 Lakhs to ₹ 11.4 Lakh per year.
2. Business Intelligence (BI) Analyst
Skills Required:
Proficiency in BI tools like Tableau, QlikView, or Power BI.
Strong SQL and database management skills.
Understanding of business processes.
Job Roles:
Creating interactive dashboards and reports
Providing insights for business strategy.
Collaborating with business stakeholders.
Salary Range: BI analysts can earn between ₹ 3.1 Lakhs to ₹ 16.5 Lakhs Per year.
3. Data Scientist
Skills Required
Advanced knowledge of Machine Learning and statistical modeling.
Proficiency in programming languages like Python or R.
Big data skills, including Hadoop and Spark.
Job Roles
Building predictive models.
Extracting insights from large datasets
Developing Machine Learning algorithms.
Salary Range: Data Scientists often earn between ₹ 3.6 Lakhs to ₹ 25.0 Lakhs per year.
3. Data Engineer
Skills Required
Expertise in ETL (Extract, Transform, Load) processes.
Strong programming skills, often in languages like Python or Java.
Database administration and management knowledge.
Job Roles
Designing and maintaining data pipelines.
Ensuring data quality and reliability.
Collaborating with Data Analysts and scientists.
Salary Range: Data engineers can earn between ₹ 3.1 Lakhs to ₹ 20.0 Lakhs per year.
4. Machine Learning Engineer
Skills Required
Strong programming skills in Python, Java, or similar languages.
Deep understanding of Machine Learning algorithms and frameworks.
Experience with model deployment and scaling.
Job Roles
Developing and deploying Machine Learning models.
Optimizing and fine-tuning models for performance.
Collaborating with Data Scientists and engineers.
Salary Range: Machine Learning engineers typically earn between ₹ 3.0 Lakhs to ₹ 20.5 Lakhs per year.
These are a few of the prominent job profiles open for an individual who has completed a data analytics certification course. However, the options are not limited to these. As a data professional, you have umpteen opportunities waiting for you.
Enroll for The Best Data Science Program
If you are a working professional and or exploring different options in the data domain, pickl.AI is a job guarantee data science course would be the best option for you. This program not only provides you expertise in data science but at the same time assures you of placement.
In addition, pickl.AI also runs the data science job assistance program that prepares you for the interview and ensures that you get a positive start in your career as a data science professional. For more information, log on to pickl.AI today