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

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

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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.

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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.

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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
  developers
• 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
  analyst.
• 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.

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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
  mindset.

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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.

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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.

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Summary
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