“Your relevance as a data custodian is your ability to analyse and interpret it. If you can’t, your replacement is due.”
― Wisdom Kwashie Mensah
When it comes to career choices, you often get stuck know- fully in the midway not because you don’t know what to do, but more because you don’t know how to do it. Wondering about where your aspiration may land you into, the curiosity, turmoils lags you back from achieving what you always wanted.
There are some pit stops in life where your job will demand a different skill set than your academic background. When you would want to transit to a different domain, a question may arise in your mind “Can I still do it”? “If yes, How”?.
Data Analytics is there to be desired by any aspirant who is good at technical intuitiveness and have interest in statistical relevance of any aspect. And it does not matter even, to which field you belong. Honestly speaking, you don’t necessarily be an Engineer to get into the world of Data Science.
You can definitely start with Data Analytics irrespective of the forte you belong to. There are institutes and learning platforms to help you achieve your goals faster in the pretext of various certified courses, one among which is Data Science Full-stack certification.
The foremost thing you need to possess is analytical aptitude. The natural ability of problem-solving and analysing queries is demanded from the job role.
If you dislike Statistics and are indifferent towards learning codes, this field is not for you.
Here is a list of the various analytical role that organisations provide in the present market scenario.
- Financial Analyst
- Portfolio Analyst
- Pricing Analyst
- Campaign Analyst
- Excel Analyst
- Web Analyst
- Fraud/Risk Analyst
- Security Analyst
- Online Marketing Analyst
- CRM Analyst
- SQL Analyst
- Testing Analyst
- Database Analyst
- SAS programmer
- Statistical Analyst
Who can opt for Various Data Analytics Roles?
By now, if you are certain at your decision of taking Data to the next juncture of your career, then let’s see how you can proceed from where you stand presently.
1.If you are an Engineering graduate.
If you hail from the Engineering background and previously working as a Data Engineer, then the easiest transition you can make up to is “Data Analyst.”
A Data Analyst uses data to collect information about a specific context. It begins with a Survey, in which data analysts find survey parameters and filter required information. The Data is then analysed and formulated in forms such as charts and graphs. The whole evaluation is put into an online database and forwarded, to provide insights which help in informed decision making.
Individuals looking for Data Analyst jobs must have some prerequisites in computer programs such as
Apart from these, the skills that contribute to the salary of Data Analysts are
- Statistical Analysis
- Big Data Analysis
- Data modelling
- Tableau software
For Data Analysis, communication skills are essential, as they facilitate open communication with the business requirements.
The Average Salary for a Data Analyst in India is 413,200 INR/year and an average salary of senior Data Analyst is 699,820 INR/year
0-1 years: An entry-level Data Analyst or with one year of experience can expect an average salary of 315,800 INR/ year and for Senior Data Analyst is 580,689INR/year.
1-4years: A Data Analyst in early to mid-career can expect an average salary of 400,565 INR/year and for Senior Data Analyst is 600,567INR/year.
5-9 years: A well experienced Data Analyst can expect an average salary of 623,900 INR/year and for Senior Data Analyst, it is 821,621INR/year.
10-19 years: A Data Analyst in their late-career can expect an average salary of 870,900 INR/year and for Senior Data Analyst, it is 1,000,100 INR/year
Salary benefits of employees rely figuratively of the job locations too. Data Analysts who work in Metropolitan like Bangalore and Gurgaon earn 20% and 9% more respectively than other mediocre cities. The lowest requirements of Data Analysts lies in areas like Maharastra, Hyderabad and Pune.
2. If you are an MBA/Business graduate:
If you are a management graduate or professional, the most suitable transition to Data for you will be “Business Analyst.”
Senior Business analysts possess quality responsibilities which are often complex depending on the veracity of issues.
They need to work in Business synchrony and must know how to decipher a vast amount of information and process it for the need of the organisation.
They presumably resolve data challenges of a client’s company and organisation, as this is an important part of being successful on the job and helping an organisation thrive.
They also identify firms strengths and weaknesses thereby suggesting ideas to improve. Senior business analysts often take on complex projects than that of an average business analyst, thus making their job that much more difficult and complicated.
They are obliged to cover other tasks such as guiding in the enforcement of project deadlines and schedules, communicating actively with personnel, maintaining project standards, managing resources in accordance with project schedules, and delivering quality services to clients.
The skills that contribute to the salary of Data Analysts are
- Project management
- Functional Analysis
- Customer interaction
- Agile Software Development
- Microsoft Office/Microsoft excel
- Requirement Analysis
- Business Analysis
The Average Salary for a Senior Business Analyst in India is 972,876 INR/year
0-1 years: An entry-level Business Analyst or with one year of experience can expect an average salary of 642,978 INR/year
1-4years: A Business Analyst in early to mid-career can expect an average salary of 742,596 INR/year
5-9 years: A well-experienced senior analyst can expect an average salary of 1,020,598 INR/year
10-19 years: A Data Analyst in their late-career can expect an average salary of 1,532,678 INR/year
Pune (Maharastra) has the highest occupancy of Business Analyst followed by Bangalore with a salary raise of 22% and10% respectively in comparison to other cities. Uttar Pradesh (Noida )has the least average salary than normal, which differ up to 20% less than another metropolitan.
3. If you are a simple Computer Science/ Math/ Statistic graduate:
Even if you are not from Engineering or management background, Analysts have still scope for you to fit in. The most convenient transition for you will be to get into the shoes of Predictive Analysts. The difference between data analysis and predictive analysis is that predictive analysts work on structured Data which is already in the pavement refined from crudeness. They proliferate valuable statistical information from unstructured data and optimise them for further determinations and organisational demands.
They decide the outcomes for variable interest with a proactive mindset. Using various tools such as SQL, they slice and dice data for utilising its potential for the market’s interest and analyse every perspective for its further utilisations.
Skills required for predictive analysis:
- A proactive mindset
- Microsoft Excel
- R or Python-Statistical Programming
- Structured Query Language (SQL)
- Data Visualization
- Presentation Skills
- Machine Learning
- Critical Thinking
The Average Salary of predictive analysts along all the verticals is approximately1,253k (INR)/year.
0-1 years: An entry-level Business Analyst or with one year of experience can expect an average salary of 576,999 INR/year.
1-4years: A Business Analyst in early to mid-career can expect an average salary of 659,365INR/year.
5-9 years: A well-experienced senior analyst can expect an average salary of 978,598INR/year.
10-19 years: A Data Analyst in their late-career can expect an average salary of 1,125,678INR/year.
Salary benefits of employees rely figuratively of the job locations too. Predictive Analysts who work in Metropolitan like Pune and Bangalore earn 16% and 10% more respectively than other mediocre cities. The lowest requirements of Data Analysts lies in areas like Gurgaon, Hyderabad and West Bengal.