Essential Skills Required To Make Your Career as a Business or Data Analyst - PowerPoint PPT Presentation

About This Presentation

Essential Skills Required To Make Your Career as a Business or Data Analyst


Certain skills are common to the role of a business analyst and that of a data analyst. If your are planning to choose business analyst as a career path or are aspiring for a career as a data analyst in India, then here are few skills that you must possess or acquire to make it big in any of these two domains – PowerPoint PPT presentation

Number of Views:10


Transcript and Presenter's Notes

Title: Essential Skills Required To Make Your Career as a Business or Data Analyst

Essential Skills Required To Make Your Career as
a Business/Data Analyst
  • http//

Essential Skills Required To Make Your Career as
a Business/Data Analyst
  • Business Analytics and Data Analytics are two
    specialized disciplines with distinct yet
    overlapping goals and objectives.
  • Business analytics entails the utilization of
    statistical analysis and historical data to
    investigate an organizations past performance
    with an aim to extract key insights that can
    facilitate business planning and decision-making.
  • Opting for business analyst as a career would
    mean undertaking a deep dive into
    business-specific domains to identify
    optimization opportunities problems that affect
    an organizations processes systems and
    addressing such problems with the help of
    technology-based solutions in the form of
    architectural upgrades, implementation of new
    tools, deployment of software applications etc.

Essential Skills Required To Make Your Career as
a Business/Data Analyst
  • On the other hand, data analytics concerns the
    extracting, cleansing, transforming, analysing
    and modelling of raw data into valuable insights
    that help businesses make logical conclusions and
    well-informed decisions.
  • Typically, the job description of a data analyst
    role involves examination of large sets of
    structured and unstructured data, usually derived
    from diverse and fragmented sources, to reveal
    hidden trends, patterns and meaningful
    correlations that are embedded in the data sets.
  • By leveraging techniques like text mining and
    data visualization, information is extracted and
    classified quickly and presented in a form that
    is easily accessible, comprehensible and
    utilizable for the users.

Strong Communication and Problem-Solving Skills 
  • Data analyst jobs and business analyst jobs
    require extensive communication, both in person
    and over calls, emails and web meetings
  • To see through your job deliverable successfully,
    you will have to negotiate and collaborate
    effectively with various stakeholders, including
    clients, internal management, team members and
  • Facilitating work-related meetings, listening
    probing effectively to assimilate information and
    articulating requests clearly in the
    appropriate forum are some of the common
    expectations from a data analyst or a business
  • Equally important is your ability to examine a
    problem from different points of view and your
    aptitude to delve deeper into an issue to review
    it in its entirety in order to reveal the
    underlying causes.

Willingness to Explore and Creative Bent of Mind 
  • To succeed in your career as a business analyst
    or a data analyst, you must possess deep-rooted
    curiosity to unearth new facts and insights.
  • Such a bent of mind will inspire you to question
    the status-quo. This enables collection and
    monitoring of data in real-time.
  • It will stimulate you to think out of the box and
    come up with novel and creative ways to
    visualize, analyse and interpret data in order to
    derive crucial trends and patterns that are
    otherwise hard to discern with a hackneyed

Knowledge of Programming Languages
  • While its true that not every data or business
    analyst role might require one to be an expert in
    coding or executing database queries, yet it is a
    fact that the role of a data analyst or a
    business analyst often demands proficiency in
    programming languages
  • It helps if you are well versed with the likes of
    Python, Scala, R, SQL, Java, C etc. in order to
    be able to work with voluminous data sets in a
    competent manner.

Quantitative and Qualitative Skills 
  • It goes without saying that strong analytical
    skills, both quantitative and qualitative, are
    vital for anyone who decides to venture into data
    analytics or business analytics.
  • Becoming a data analyst would need you to
    acclimatise yourself with a variety of data
    analytics software and methodologies, predictive
    modelling tools and statistical tools
    techniques such as descriptive statistics, EDA
    and CDA that are required to undertake a detailed
    inspection of data.
  • Similarly, becoming a business analyst would
    necessitate a sound grasp of statistical methods
    and tools like explanatory and predictive
    modelling as well as robust documentation and
    specification skills.
  • Both the disciplines mandate you to demonstrate
    prowess in numerical analysis and interpretive
    skills so that you are able to comprehend and
    analyse numerical and non-numerical data swiftly
    and accurately.

Lastly, enrolling in a professional skill
enhancement course like MIT Skills Advanced Post
Graduate Program in Data Analytics will help you
master crucial data science skills like data
mining, data modelling, data architecture, data
extraction, data transformation, data
visualization, data interpretation and business
intelligence development within a short time
frame of  6 8 months. The concise course can be
availed by B.Tech./B.E./ M.Sc./MBA students or by
any graduate with a minimum of 50 grades. MIT
Skills comprehensive course curriculum will
empower you with essential data science concepts
such as Statistics Theory, Hadoop/HDFS/Hive
Architecture, SQL Spark  , Base SAS,  SAS SQL,
SAS Macros, R Studio, Data visualization with
Tableau  Python Scikit LEARN, Machine Learning
algorithms   Naïve Bayes Classifier Algorithm, K
Means Clustering Algorithm, Support Vector
Machine Algorithm, Linear Regression,  Logistic
Regression, Random Forests, Decision Trees,
Advance Excel to make you industry-ready and
employable across a range of industries and
business sectors
Write a Comment
User Comments (0)